Paper Digest: Recent Papers on Style Transfer
Paper Digest Team extracted all recent Style Transfer related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Style Transfer
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Ensuring Consistency for In-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The former entails incorporating image information during translation, while the latter involves maintaining consistency between the style of the text-image and the original image, ensuring background integrity. To address these consistency requirements, we introduce a novel two-stage framework named HCIIT (High-Consistency In-Image Translation) which involves text-image translation using a multimodal multilingual large language model in the first stage and image backfilling with a diffusion model in the second stage. |
CHENGPENG FU et. al. | arxiv-cs.CL | 2024-12-23 |
| 2 | Style Transfer Dataset: What Makes A Good Stylization? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new dataset with the goal of advancing image style transfer – the task of rendering one image in the style of another image. |
Victor Kitov; Valentin Abramov; Mikhail Akhtyrchenko; | arxiv-cs.CV | 2024-12-22 |
| 3 | Diffusion-Based Conditional Image Editing Through Optimized Inference with Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple but effective training-free approach for text-driven image-to-image translation based on a pretrained text-to-image diffusion model. |
Hyunsoo Lee; Minsoo Kang; Bohyung Han; | arxiv-cs.CV | 2024-12-20 |
| 4 | Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This issue is particularly pronounced in transportation applications, such as detecting vehicles and other objects of interest on rural roads at night, where street lighting is often absent, and headlights may introduce undesirable glare. This study addresses these challenges by introducing a novel framework for labeling-free data augmentation, leveraging CARLA-generated synthetic data for day-to-night image style transfer. |
Yunxiang Yang; Hao Zhen; Yongcan Huang; Jidong J. Yang; | arxiv-cs.CV | 2024-12-20 |
| 5 | Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, in this paper, we propose a Sparse Vision Transformer (SparseViT), which reformulates the dense, global self-attention in ViT into a sparse, discrete manner. |
LEI SU et. al. | arxiv-cs.CV | 2024-12-19 |
| 6 | Content-style Disentangled Representation for Controllable Artistic Image Stylization and Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current methods for content and style disentanglement primarily rely on image information for supervision, which leads to two problems: 1) models can only support one modality for style or content input;2) incomplete disentanglement resulting in semantic interference from the reference image. To address the above issues, this paper proposes a content-style representation disentangling method for controllable artistic image stylization and generation. |
Ma Zhuoqi; Zhang Yixuan; You Zejun; Tian Long; Liu Xiyang; | arxiv-cs.CV | 2024-12-18 |
| 7 | Prompt Augmentation for Self-supervised Text-guided Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, our work introduces prompt augmentation, a method amplifying a single input prompt into several target prompts, strengthening textual context and enabling localised image editing. |
Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim; | arxiv-cs.CV | 2024-12-17 |
| 8 | LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present LineArt, a framework that transfers complex appearance onto detailed design drawings, facilitating design and artistic creation. |
XI WANG et. al. | arxiv-cs.CV | 2024-12-16 |
| 9 | UnMA-CapSumT: Unified and Multi-Head Attention-driven Caption Summarization Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To the best of our knowledge, no such work exists that provided a description that integrates different captioning methods to describe the contents of an image with factual and stylized (romantic and humorous) elements. To overcome these limitations, this paper presents a novel Unified Attention and Multi-Head Attention-driven Caption Summarization Transformer (UnMA-CapSumT) based Captioning Framework. |
Dhruv Sharma; Chhavi Dhiman; Dinesh Kumar; | arxiv-cs.CV | 2024-12-16 |
| 10 | Learning Flow Fields in Attention for Controllable Person Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We attribute these distortions to inadequate attention to corresponding regions in the reference image. To address this, we thereby propose learning flow fields in attention (Leffa), which explicitly guides the target query to attend to the correct reference key in the attention layer during training. |
ZIJIAN ZHOU et. al. | arxiv-cs.CV | 2024-12-11 |
| 11 | StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent advancements in text-to-image models have improved the nuance of style transformations, yet significant challenges remain, particularly with overfitting to reference styles, limiting stylistic control, and misaligning with textual content. In this paper, we propose three complementary strategies to address these issues. |
Mingkun Lei; Xue Song; Beier Zhu; Hao Wang; Chi Zhang; | arxiv-cs.CV | 2024-12-11 |
| 12 | StyleMaster: Stylize Your Video with Artistic Generation and Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style control has been popular in video generation models. Existing methods often generate videos far from the given style, cause content leakage, and struggle to transfer one … |
ZIXUAN YE et. al. | arxiv-cs.CV | 2024-12-10 |
| 13 | StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, AST-generated images lose the structural and semantic information of the original style image, hindering end-to-end robust tracking by watermarks. To fill this gap, we propose StyleMark, the first robust watermarking method for black-box AST, which can be seamlessly applied to art style images achieving precise attribution of artistic styles after AST. |
Yunming Zhang; Dengpan Ye; Sipeng Shen; Jun Wang; | arxiv-cs.CV | 2024-12-09 |
| 14 | Continuous Video Process: Modeling Videos As Continuous Multi-Dimensional Processes for Video Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our paper, we introduce a novel model class, that treats video as a continuous multi-dimensional process rather than a series of discrete frames. |
Gaurav Shrivastava; Abhinav Shrivastava; | arxiv-cs.CV | 2024-12-06 |
| 15 | Learning Artistic Signatures: Symmetry Discovery and Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Conversely, more recent work with diffusion models offers compelling empirical results but provides little theoretical grounding. To address these issues, we propose an alternative definition of artistic style. |
Emma Finn; T. Anderson Keller; Emmanouil Theodosis; Demba E. Ba; | arxiv-cs.CV | 2024-12-05 |
| 16 | D-LORD for Motion Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel framework named D-LORD (Double Latent Optimization for Representation Disentanglement), which is designed for motion stylization (motion style transfer and motion retargeting). |
Meenakshi Gupta; Mingyuan Lei; Tat-Jen Cham; Hwee Kuan Lee; | arxiv-cs.CV | 2024-12-05 |
| 17 | SGSST: Scaling Gaussian Splatting StyleTransfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work introduces SGSST: Scaling Gaussian Splatting Style Transfer, an optimization-based method to apply style transfer to pretrained 3DGS scenes. |
Bruno Galerne; Jianling Wang; Lara Raad; Jean-Michel Morel; | arxiv-cs.CV | 2024-12-04 |
| 18 | Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Style3D, a novel approach for generating stylized 3D objects from a content image and a style image. |
Bingjie Song; Xin Huang; Ruting Xie; Xue Wang; Qing Wang; | arxiv-cs.CV | 2024-12-04 |
| 19 | GIST: Towards Photorealistic Style Transfer Via Multiscale Geometric Representations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Motivated by the ability of multiscale geometric image representations to capture fine-grained details and global structure, we propose GIST: Geometric-based Image Style Transfer, a novel Style Transfer technique that exploits the geometric properties of content and style images. |
Renan A. Rojas-Gomez; Minh N. Do; | arxiv-cs.CV | 2024-12-03 |
| 20 | RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new perceptual metric tailored for medical images: Radiomic Feature Distance (RaD), which utilizes standardized, clinically meaningful and interpretable image features. |
NICHOLAS KONZ et. al. | arxiv-cs.CV | 2024-12-02 |
| 21 | Z-STAR+: A Zero-shot Style Transfer Method Via Adjusting Style Distribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a Cross-attention Reweighting module that utilizes local content features to query style image information best suited to the input patch, thereby aligning the style distribution of the stylized results with that of the style image. |
Yingying Deng; Xiangyu He; Fan Tang; Weiming Dong; | arxiv-cs.CV | 2024-11-28 |
| 22 | Music2Fail: Transfer Music to Failed Recorder Style Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate another style transfer scenario called “failed-music style transfer”. |
CHON IN LEONG et. al. | arxiv-cs.SD | 2024-11-27 |
| 23 | Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Models designed to generate interleaved text and images face challenges in ensuring consistency within and across these modalities. To address these challenges, we present ISG, a comprehensive evaluation framework for interleaved text-and-image generation. |
DONGPING CHEN et. al. | arxiv-cs.CV | 2024-11-26 |
| 24 | CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This occurs when multiple objects with similar temperatures appear indistinguishable in the training data, further exacerbating the loss of fidelity. To solve this challenge, this paper proposes CapHDR2IR, a novel framework incorporating vision-language models using high dynamic range (HDR) images as inputs to generate IR images. |
JINGCHAO PENG et. al. | arxiv-cs.CV | 2024-11-25 |
| 25 | A Training-Free Approach for Music Style Transfer with Latent Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel training-free approach leveraging pre-trained Latent Diffusion Models (LDMs). |
SOOYOUNG KIM et. al. | arxiv-cs.SD | 2024-11-24 |
| 26 | Omni-IML: Towards Unified Image Manipulation Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose Omni-IML, the first generalist model to unify diverse IML tasks. |
Chenfan Qu; Yiwu Zhong; Fengjun Guo; Lianwen Jin; | arxiv-cs.CV | 2024-11-22 |
| 27 | HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite their success, adapting these models to diverse tasks such as domain adaptation, reference-guided synthesis, and text-guided manipulation with limited training data remains challenging. Towards this end, in this study, we present a novel framework that significantly extends the capabilities of a pre-trained StyleGAN by integrating CLIP space via hypernetworks. |
ABDUL BASIT ANEES et. al. | arxiv-cs.CV | 2024-11-19 |
| 28 | Towards Multi-View Consistent Style Transfer with One-Step Diffusion Via Vision Conditioning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To efficiently adapt the pre-trained model for multi-view style transfer on small datasets, we introduce a vision condition module to extract style information from the reference style image to serve as conditional input for the diffusion model and employ LoRA in diffusion model for adaptation. |
YUSHEN ZUO et. al. | arxiv-cs.CV | 2024-11-15 |
| 29 | Mechanisms of Generative Image-to-Image Translation Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a streamlined image-to-image translation network with a simpler architecture compared to existing models. |
Guangzong Chen; Mingui Sun; Zhi-Hong Mao; Kangni Liu; Wenyan Jia; | arxiv-cs.CV | 2024-11-15 |
| 30 | Artistic Neural Style Transfer Algorithms with Activation Smoothing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we re-implement image-based NST, fast NST, and arbitrary NST. |
XIANGTIAN LI et. al. | arxiv-cs.CV | 2024-11-12 |
| 31 | TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, current SVS models often fail to generate singing voices rich in stylistic nuances for unseen singers. To address these challenges, we introduce TCSinger, the first zero-shot SVS model for style transfer across cross-lingual speech and singing styles, along with multi-level style control. |
YU ZHANG et. al. | emnlp | 2024-11-11 |
| 32 | AI-Driven Stylization of 3D Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this system, we discuss methods to stylize a scene of 3D primitive objects into a higher fidelity 3D scene using novel 3D representations like NeRFs and 3D Gaussian Splatting. |
Yuanbo Chen; Yixiao Kang; Yukun Song; Cyrus Vachha; Sining Huang; | arxiv-cs.CV | 2024-11-08 |
| 33 | NCST: Neural-based Color Style Transfer for Video Retouching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Typically, users cannot fine-tune the resulting images or videos. To tackle this issue, we introduce a method that predicts specific parameters for color style transfer using two images. |
Xintao Jiang; Yaosen Chen; Siqin Zhang; Wei Wang; Xuming Wen; | arxiv-cs.CV | 2024-10-31 |
| 34 | A Practical Style Transfer Pipeline for 3D Animation: Insights from Production R&D Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the insights from our development process, where we explored various options to balance quality, artist control, and workload, leading to several key decisions. |
Hideki Todo; Yuki Koyama; Kunihiro Sakai; Akihiro Komiya; Jun Kato; | arxiv-cs.GR | 2024-10-31 |
| 35 | Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Kandinsky 3, a novel T2I model based on latent diffusion, achieving a high level of quality and photorealism. |
VLADIMIR ARKHIPKIN et. al. | arxiv-cs.CV | 2024-10-28 |
| 36 | UniVST: A Unified Framework for Training-free Localized Video Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents UniVST, a unified framework for localized video style transfer based on diffusion model. |
QUANJIAN SONG et. al. | arxiv-cs.CV | 2024-10-26 |
| 37 | Group Diffusion Transformers Are Unsupervised Multitask Learners Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While large language models (LLMs) have revolutionized natural language processing with their task-agnostic capabilities, visual generation tasks such as image translation, style transfer, and character customization still rely heavily on supervised, task-specific datasets. In this work, we introduce Group Diffusion Transformers (GDTs), a novel framework that unifies diverse visual generation tasks by redefining them as a group generation problem. |
LIANGHUA HUANG et. al. | arxiv-cs.CV | 2024-10-19 |
| 38 | DiffuseST: Unleashing The Capability of The Diffusion Model for Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel and training-free approach for style transfer, combining textual embedding with spatial features and separating the injection of content or style. |
Ying Hu; Chenyi Zhuang; Pan Gao; | arxiv-cs.CV | 2024-10-19 |
| 39 | 4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce 4DStyleGaussian, a novel 4D style transfer framework designed to achieve real-time stylization of arbitrary style references while maintaining reasonable content affinity, multi-view consistency, and temporal coherence. |
Wanlin Liang; Hongbin Xu; Weitao Chen; Feng Xiao; Wenxiong Kang; | arxiv-cs.CV | 2024-10-14 |
| 40 | TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: GAN-based STE methods generally encounter a common issue of model generalization, while Diffusion-based STE methods suffer from undesired style deviations. To address these problems, we propose TextCtrl, a diffusion-based method that edits text with prior guidance control. |
Weichao Zeng; Yan Shu; Zhenhang Li; Dongbao Yang; Yu Zhou; | arxiv-cs.CV | 2024-10-13 |
| 41 | EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach termed Exemplar-guided Image Translation with Brownian-Bridge Diffusion Models (EBDM). |
Eungbean Lee; Somi Jeong; Kwanghoon Sohn; | arxiv-cs.CV | 2024-10-13 |
| 42 | TextMaster: Universal Controllable Text Edit Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our approach employs adaptive standard letter spacing as guidance during training and uses adaptive mask boosting to prevent the leakage of text position and size information. |
AOQIANG WANG et. al. | arxiv-cs.CV | 2024-10-13 |
| 43 | Bridging Text and Image for Artist Style Transfer Via Contrastive Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Contrastive Learning for Artistic Style Transfer (CLAST) that leverages advanced image-text encoders to control arbitrary style transfer. |
Zhi-Song Liu; Li-Wen Wang; Jun Xiao; Vicky Kalogeiton; | arxiv-cs.CV | 2024-10-12 |
| 44 | NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing models often fail to maintain sequence temporal consistency, disrupting frame transitions. To tackle this issue, this paper introduces NaRCan, a video editing framework that integrates a hybrid deformation field network with diffusion priors. |
TING-HSUAN CHEN et. al. | nips | 2024-10-07 |
| 45 | Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Artifacts often degrade the visual quality of virtual try-on (VTON) and pose transfer applications, impacting user experience. This study introduces a novel conditional inpainting technique designed to detect and remove such distortions, improving image aesthetics. |
Aref Tabatabaei; Zahra Dehghanian; Maryam Amirmazlaghani; | arxiv-cs.CV | 2024-10-05 |
| 46 | Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an algorithm named pairwise sample optimization (PSO), which enables the direct fine-tuning of an arbitrary timestep-distilled diffusion model. |
ZICHEN MIAO et. al. | arxiv-cs.CV | 2024-10-04 |
| 47 | PixelShuffler: A Simple Image Translation Through Pixel Rearrangement Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel pixel shuffle method that addresses the image-to-image translation problem generally with a specific demonstrative application in style transfer. |
Omar Zamzam; | arxiv-cs.CV | 2024-10-03 |
| 48 | Harnessing The Latent Diffusion Model for Training-Free Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a training-free style transfer algorithm, Style Tracking Reverse Diffusion Process (STRDP) for a pretrained Latent Diffusion Model (LDM). |
Kento Masui; Mayu Otani; Masahiro Nomura; Hideki Nakayama; | arxiv-cs.CV | 2024-10-02 |
| 49 | Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a training framework for feature disentanglement of Diffusion Models (FDiff). |
WONWOONG CHO et. al. | eccv | 2024-09-30 |
| 50 | LEGO: Learning EGOcentric Action Frame Generation Via Visual Instruction Tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel problem – egocentric action frame generation. |
BOLIN LAI et. al. | eccv | 2024-09-30 |
| 51 | WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our work, we leverage an explicit Gaussian Scale (GS) representation and directly match the distributions of Gaussians between style and content scenes using the Earth Mover’s Distance (EMD). |
DMYTRO KOTOVENKO et. al. | eccv | 2024-09-30 |
| 52 | Towards Compact Reversible Image Representations for Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we learn compact neural representations for style transfer motivated from an information theoretical perspective. |
XIYAO LIU et. al. | eccv | 2024-09-30 |
| 53 | InstaStyle: Inversion Noise of A Stylized Image Is Secretly A Style Adviser Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose InstaStyle, a novel approach that excels in generating high-fidelity stylized images with only a single reference image. |
XING CUI et. al. | eccv | 2024-09-30 |
| 54 | Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a pixel-aware stable diffusion (PASD) network to achieve robust Real-ISR and personalized image stylization. |
Tao Yang; Rongyuan Wu; Peiran Ren; Xuansong Xie; Lei Zhang; | eccv | 2024-09-30 |
| 55 | Implicit Style-Content Separation Using B-LoRA IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce B-LoRA, a method that leverages LoRA (Low-Rank Adaptation) to implicitly separate the style and content components of a single image, facilitating various image stylization tasks. |
Yarden Frenkel; Yael Vinker; Ariel Shamir; Danny Cohen-Or; | eccv | 2024-09-30 |
| 56 | WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our work, we leverage an explicit Gaussian Splatting (GS) representation and directly match the distributions of Gaussians between style and content scenes using the Earth Mover’s Distance (EMD). |
DMYTRO KOTOVENKO et. al. | arxiv-cs.CV | 2024-09-26 |
| 57 | Copying Style, Extracting Value: Illustrators’ Perception of AI Style Transfer and Its Impact on Creative Labor Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We provided four illustrators with a model fine-tuned to their style and conducted semi-structured interviews about the model’s successes, limitations, and potential uses. |
Julien Porquet; Sitong Wang; Lydia B. Chilton; | arxiv-cs.HC | 2024-09-25 |
| 58 | Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes Pix2Next, a novel image-to-image translation framework designed to address the challenge of generating high-quality Near-Infrared (NIR) images from RGB inputs. |
YOUNGWAN JIN et. al. | arxiv-cs.CV | 2024-09-25 |
| 59 | AEANet: Affinity Enhanced Attentional Networks for Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing style transfer methods often significantly damage the texture lines of the content image during the style transformation. To address these issues, we propose affinity-enhanced attentional network, which include the content affinity-enhanced attention (CAEA) module, the style affinity-enhanced attention (SAEA) module, and the hybrid attention (HA) module. |
Gen Li; Xianqiu Zheng; Yujian Li; | arxiv-cs.CV | 2024-09-22 |
| 60 | Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach utilizing image translation models to mitigate domain mismatches and facilitate efficient robot skill learning in a simulated environment. |
Jacinto Colan; Keisuke Sugita; Ana Davila; Yutaro Yamada; Yasuhisa Hasegawa; | arxiv-cs.RO | 2024-09-16 |
| 61 | Mamba-ST: State Space Model for Efficient Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the above, this paper explores a novel design of Mamba, an emergent State-Space Model (SSM), called Mamba-ST, to perform style transfer. |
FILIPPO BOTTI et. al. | arxiv-cs.CV | 2024-09-16 |
| 62 | One-Shot Learning for Pose-Guided Person Image Synthesis in The Wild Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, naively applying test-time tuning results in inconsistencies in facial identities and appearance attributes. To address this, we introduce a Visual Consistency Module (VCM), which enhances appearance consistency by combining the face, text, and image embedding. |
DONGQI FAN et. al. | arxiv-cs.CV | 2024-09-14 |
| 63 | MagicStyle: Portrait Stylization Based on Reference Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This challenge becomes even more pronounced when the content image is a portrait which has complex textural details. To address this challenge, we propose a diffusion model-based reference image stylization method specifically for portraits, called MagicStyle. |
Zhaoli Deng; Kaibin Zhou; Fanyi Wang; Zhenpeng Mi; | arxiv-cs.CV | 2024-09-12 |
| 64 | StructuReiser: A Structure-preserving Video Stylization Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce StructuReiser, a novel video-to-video translation method that transforms input videos into stylized sequences using a set of user-provided keyframes. |
Radim Spetlik; David Futschik; Daniel Sykora; | arxiv-cs.CV | 2024-09-09 |
| 65 | MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce MRStyle, a comprehensive framework that enables color style transfer using multi-modality reference, including image and text. |
JIANCHENG HUANG et. al. | arxiv-cs.CV | 2024-09-08 |
| 66 | Seed-to-Seed: Image Translation in Diffusion Seed Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Seed-to-Seed Translation (StS), a novel approach for Image-to-Image Translation using diffusion models (DMs), aimed at translations that require close adherence to the structure of the source image. |
Or Greenberg; Eran Kishon; Dani Lischinski; | arxiv-cs.CV | 2024-09-01 |
| 67 | ST2SI: Image Style Transfer Via Vision Transformer Using Spatial Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View |
Wenshu Li; Yinliang Chen; Xiaoying Guo; Xiaoyu He; | Comput. Graph. | 2024-09-01 |
| 68 | Style Transfer: From Stitching to Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article compares two style transfer methods in image processing: the traditional method, which synthesizes new images by stitching together small patches from existing images, and a modern machine learning-based approach that uses a segmentation network to isolate foreground objects and apply style transfer solely to the background. |
XINHE XU et. al. | arxiv-cs.CV | 2024-09-01 |
| 69 | CSGO: Content-Style Composition in Text-to-Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we present a data construction pipeline for content-style-stylized image triplets that generates and automatically cleanses stylized data triplets. |
PENG XING et. al. | arxiv-cs.CV | 2024-08-29 |
| 70 | G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields Across Scenes and Styles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we overcome the limitations of existing methods by rendering stylized novel views from a NeRF without the need for per-scene or per-style optimization. |
Adil Meric; Umut Kocasari; Matthias Nießner; Barbara Roessle; | arxiv-cs.CV | 2024-08-24 |
| 71 | Prompt-Softbox-Prompt: A Free-text Embedding Control for Image Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide a comprehensive and in-depth analysis of text embeddings in Stable Diffusion XL, offering three key insights. |
Yitong Yang; Yinglin Wang; Jing Wang; Tian Zhang; | arxiv-cs.CV | 2024-08-24 |
| 72 | Query-Efficient Video Adversarial Attack with Stylized Logo Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, compared to a plethora of methods targeting image classifiers, video adversarial attacks are still not that popular. Therefore, to generate adversarial examples with a low budget and to provide them with a higher verisimilitude, we propose a novel black-box video attack framework, called Stylized Logo Attack (SLA). |
DUOXUN TANG et. al. | arxiv-cs.CV | 2024-08-21 |
| 73 | FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite their versatility, these methods often struggle with maintaining style consistency, reflecting the described style accurately, and preserving the content of the target image. To address these challenges, we introduce FAGStyle, a zero-shot text-guided diffusion image style transfer method. |
Yuexing Han; Liheng Ruan; Bing Wang; | arxiv-cs.CV | 2024-08-20 |
| 74 | Structure-preserving Image Translation for Depth Estimation in Colonoscopy Video Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a general pipeline of structure-preserving synthetic-to-real (sim2real) image translation (producing a modified version of the input image) to retain depth geometry through the translation process. |
Shuxian Wang; Akshay Paruchuri; Zhaoxi Zhang; Sarah McGill; Roni Sengupta; | arxiv-cs.CV | 2024-08-19 |
| 75 | StyleBrush: Style Extraction and Transfer from A Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose StyleBrush, a method that accurately captures styles from a reference image and “brushes” the extracted style onto other input visual content. |
WANCHENG FENG et. al. | arxiv-cs.CV | 2024-08-18 |
| 76 | Learning A Low-Level Vision Generalist Via Visual Task Prompt Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In addition, these methods are sensitive to prompt image content and often struggle with low-frequency information processing. In this paper, we propose a Visual task Prompt-based Image Processing (VPIP) framework to overcome these challenges. |
XIANGYU CHEN et. al. | arxiv-cs.CV | 2024-08-16 |
| 77 | The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study aims to demonstrate that the Kolmogorov-Arnold Network (KAN) can effectively replace the Multi-layer Perceptron (MLP) method in generative AI, particularly in the subdomain of image-to-image translation, to achieve better generative quality. |
Arpan Mahara; Naphtali D. Rishe; Liangdong Deng; | arxiv-cs.CV | 2024-08-15 |
| 78 | An Analysis for Image-to-Image Translation and Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of generative technologies in deep learning, a large number of image-to-image translation and style transfer models have emerged at an explosive rate in … |
Xiaoming Yu; Jie Tian; Zhenhua Hu; | arxiv-cs.CV | 2024-08-12 |
| 79 | InstantStyleGaussian: Efficient Art Style Transfer with 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present InstantStyleGaussian, an innovative 3D style transfer method based on the 3D Gaussian Splatting (3DGS) scene representation. |
Xin-Yi Yu; Jun-Xin Yu; Li-Bo Zhou; Yan Wei; Lin-Lin Ou; | arxiv-cs.CV | 2024-08-08 |
| 80 | CLIP-based Point Cloud Classification Via Point Cloud to Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Secondly, the adapter only relies on the global representation of the multi-view features. Motivated by this observation, we propose a Pretrained Point Cloud to Image Translation Network (PPCITNet) that produces generalized colored images along with additional salient visual cues to the point cloud depth maps so that it can achieve promising performance on point cloud classification and understanding. |
Shuvozit Ghose; Manyi Li; Yiming Qian; Yang Wang; | arxiv-cs.CV | 2024-08-07 |
| 81 | D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel framework called D$^2$Styler (Discrete Diffusion Styler) that leverages the discrete representational capability of VQ-GANs and the advantages of discrete diffusion, including stable training and avoidance of mode collapse. |
Onkar Susladkar; Gayatri Deshmukh; Sparsh Mittal; Parth Shastri; | arxiv-cs.CV | 2024-08-07 |
| 82 | A Multi-Level Cross-Attention Image Registration Method for Visible and Infrared Small Unmanned Aerial Vehicle Targets Via Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Small UAV target detection and tracking based on cross-modality image fusion have gained widespread attention. Due to the limited feature information available from small UAVs in … |
WEN JIANG et. al. | Remote. Sens. | 2024-08-07 |
| 83 | IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning Using Instruct Prompts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose IPAdapter-Instruct, which combines natural-image conditioning with “Instruct” prompts to swap between interpretations for the same conditioning image: style transfer, object extraction, both, or something else still? |
CIARA ROWLES et. al. | arxiv-cs.CV | 2024-08-06 |
| 84 | Who Looks Like Me: Semantic Routed Image Harmonization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Image harmonization, aiming to seamlessly blend extraneous foreground objects with background images, is a promising and challenging task.Ensuring a synthetic image appears realistic requires maintaining consistency in visual characteristics, such as texture and style, across global and semantic regions.In this paper, We approach image harmonization as a semantic routed style transfer problem, and propose an imageharmonization model by routing semantic similarity explicitly to enhance the consistency of appearance characteristics.To refine calculate the similarity between the composed foreground and background instance, we propose an InstanceSimilarity Evaluation Module(ISEM). |
JINSHENG SUN et. al. | ijcai | 2024-08-03 |
| 85 | Diffutoon: High-Resolution Editable Toon Shading Via Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we model the toon shading problem as four subproblems, i.e., stylization, consistency enhancement, structure guidance, and colorization. |
Zhongjie Duan; Chengyu Wang; Cen Chen; Weining Qian; Jun Huang; | ijcai | 2024-08-03 |
| 86 | FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To guide T2I generation with a reference image, we propose to decompose diverse guiding factors with different frequency bands of diffusion features in the DCT spectral space, and accordingly devise a novel frequency band substitution layer which realizes dynamic control of the reference image to the T2I generation result in a plug-and-play manner. |
Xiang Gao; Jiaying Liu; | arxiv-cs.CV | 2024-08-02 |
| 87 | StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces StyleRF-VolVis, an innovative style transfer framework for expressive volume visualization (VolVis) via neural radiance field (NeRF). |
Kaiyuan Tang; Chaoli Wang; | arxiv-cs.GR | 2024-07-31 |
| 88 | Controllable Neural Style Transfer for Dynamic Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose a novel mesh stylization technique that improves previous NST works in several ways. |
Guilherme Gomes Haetinger; Jingwei Tang; Raphael Ortiz; Paul Kanyuk; Vinicius Azevedo; | siggraph | 2024-07-28 |
| 89 | Toonify3D: StyleGAN-based 3D Stylized Face Generator Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to create expressive 3D faces by turning Toonify into a 3D stylized face generator. |
WONJONG JANG et. al. | siggraph | 2024-07-28 |
| 90 | StyleSplat: 3D Object Style Transfer with Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce StyleSplat, a lightweight method for stylizing 3D objects in scenes represented by 3D Gaussians from reference style images. |
Sahil Jain; Avik Kuthiala; Prabhdeep Singh Sethi; Prakanshul Saxena; | arxiv-cs.CV | 2024-07-12 |
| 91 | Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Ada-Adapter, a novel framework for few-shot style personalization of diffusion models. |
JIA LIU et. al. | arxiv-cs.CV | 2024-07-07 |
| 92 | MSF: A Multi-Scale Fusion Generative Adversarial Network for SAR-to-Optical Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes an image translation method based on multi-scale fusion GAN (MFS) network. In MFS network, there are two modules: optical image generation sub-network (OGS), … |
YONGKANG CHEN et. al. | IGARSS 2024 – 2024 IEEE International Geoscience and Remote … | 2024-07-07 |
| 93 | Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes frequency-controlled diffusion model (FCDiffusion), an end-to-end diffusion-based framework that contributes a novel solution to text-guided I2I from a frequency-domain perspective. |
Xiang Gao; Zhengbo Xu; Junhan Zhao; Jiaying Liu; | arxiv-cs.CV | 2024-07-03 |
| 94 | StyleShot: A Snapshot on Any Style Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that, a good style representation is crucial and sufficient for generalized style transfer without test-time tuning. |
JUNYAO GAO et. al. | arxiv-cs.CV | 2024-07-01 |
| 95 | Towards Diverse Image-to-image Translation Via Adaptive Normalization Layer and Contrast Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
HENG ZHANG et. al. | Comput. Graph. | 2024-07-01 |
| 96 | InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these challenges, we deconstruct the style transfer task into three core elements: 1) Style, focusing on the image’s aesthetic characteristics; 2) Spatial Structure, concerning the geometric arrangement and composition of visual elements; and 3) Semantic Content, which captures the conceptual meaning of the image. Guided by these principles, we introduce InstantStyle-Plus, an approach that prioritizes the integrity of the original content while seamlessly integrating the target style. |
HAOFAN WANG et. al. | arxiv-cs.CV | 2024-06-30 |
| 97 | MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We train a model to generate images from multimodal prompts of interleaved text and images such as a |
William Berman; Alexander Peysakhovich; | arxiv-cs.CV | 2024-06-26 |
| 98 | Conditional Face Image Manipulation Detection: Combining Algorithm and Human Examiner Decisions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It has been shown that digitally manipulated face images can pose a security threat to automated authentication systems (e.g., when such systems are used for border control). In … |
M. IBSEN et. al. | Proceedings of the 2024 ACM Workshop on Information Hiding … | 2024-06-24 |
| 99 | TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce TinyStyler, a lightweight but effective approach, which leverages a small language model (800M params) and pre-trained authorship embeddings to perform efficient, few-shot text style transfer. |
ZACHARY HORVITZ et. al. | arxiv-cs.CL | 2024-06-21 |
| 100 | Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple yet effective pipeline for stylizing a 3D scene, harnessing the power of 2D image diffusion models. |
Haruo Fujiwara; Yusuke Mukuta; Tatsuya Harada; | arxiv-cs.CV | 2024-06-19 |
| 101 | SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study thus proposes a stylization data-driven neural-image-adaptive YOLO (SDNIA-YOLO), which improves the model’s robustness by enhancing image quality adaptively and learning valuable information related to extreme weather conditions from images synthesized by neural style transfer (NST). |
Yuexiong Ding; Xiaowei Luo; | arxiv-cs.CV | 2024-06-18 |
| 102 | Domain Targeted Synthetic Plant Style Transfer Using Stable Diffusion, LoRA and ControlNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic images can help alleviate much of the cost in the creation of training data for plant phenotyping-focused AI development. Synthetic-to-real style transfer is of … |
Zane K. J. Hartley; Rob J. Lind; Michael P. Pound; Andrew P. French; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 103 | Style Transfer with Multi-iteration Preference Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Numerous recent techniques for text style transfer characterize their approaches as variants of reinforcement learning and preference optimization. In this work, we consider the relationship between these approaches and a class of optimization approaches developed primarily for (non-neural) statistical machine translation, formerly known as `tuning’. |
Shuai Liu; Jonathan May; | arxiv-cs.CL | 2024-06-17 |
| 104 | DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To provide consistent and controllable editing we propose the image-based video-NeRF editing pipeline with a set of innovative designs including multi-view multi-pose Score Distillation Sampling (SDS) from both the 2D personalized diffusion prior and 3D diffusion prior reconstruction losses text-guided local parts super-resolution and style transfer. |
JIA-WEI LIU et. al. | cvpr | 2024-06-13 |
| 105 | 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we make a connection between the two and tackle the challenging task of 3D portrait stylization – modeling high-fidelity 3D stylized avatars from captured 2D portrait images. |
YIFANG MEN et. al. | cvpr | 2024-06-13 |
| 106 | Doubly Abductive Counterfactual Inference for Text-based Image Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end we propose a Doubly Abductive Counterfactual inference framework (DAC). |
XUE SONG et. al. | cvpr | 2024-06-13 |
| 107 | Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we ask the question of whether any 2D vision model can be lifted to make 3D consistent predictions. |
MUKUND VARMA T et. al. | cvpr | 2024-06-13 |
| 108 | Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For instance it is difficult for CNN-based methods to handle global information and long-range dependencies between input images for which transformer-based methods have been proposed. |
Sizhe Zheng; Pan Gao; Peng Zhou; Jie Qin; | cvpr | 2024-06-13 |
| 109 | Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the impressive generative capabilities of diffusion models existing diffusion model-based style transfer methods require inference-stage optimization (e.g. fine-tuning or textual inversion of style) which is time-consuming or fails to leverage the generative ability of large-scale diffusion models. To address these issues we introduce a novel artistic style transfer method based on a pre-trained large-scale diffusion model without any optimization. |
Jiwoo Chung; Sangeek Hyun; Jae-Pil Heo; | cvpr | 2024-06-13 |
| 110 | S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current 3D stylization methods often assume static scenes which violates the dynamic nature of our real world. To address this limitation we present S-DyRF a reference-based spatio-temporal stylization method for dynamic neural radiance fields. |
XINGYI LI et. al. | cvpr | 2024-06-13 |
| 111 | Z*: Zero-shot Style Transfer Via Attention Reweighting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We further reveal that the cross-attention mechanism in latent diffusion models tends to blend the content and style images resulting in stylized outputs that deviate from the original content image. To overcome this limitation we introduce a cross-attention reweighting strategy. |
Yingying Deng; Xiangyu He; Fan Tang; Weiming Dong; | cvpr | 2024-06-13 |
| 112 | Video Prediction By Modeling Videos As Continuous Multi-Dimensional Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our paper we introduce a novel model class that treats video as a continuous multi-dimensional process rather than a series of discrete frames. |
Gaurav Shrivastava; Abhinav Shrivastava; | cvpr | 2024-06-13 |
| 113 | ArtAdapter: Text-to-Image Style Transfer Using Multi-Level Style Encoder and Explicit Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work introduces ArtAdapter a transformative text-to-image (T2I) style transfer framework that transcends traditional limitations of color brushstrokes and object shape capturing high-level style elements such as composition and distinctive artistic expression. |
Dar-Yen Chen; Hamish Tennent; Ching-Wen Hsu; | cvpr | 2024-06-13 |
| 114 | Generative Latent Coding for Ultra-Low Bitrate Image Compression Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However they encounter difficulties in achieving both high-realism and high-fidelity at low bitrate as the pixel-space distortion may not align with human perception. To address this issue we introduce a Generative Latent Coding (GLC) architecture which performs transform coding in the latent space of a generative vector-quantized variational auto-encoder (VQ-VAE) instead of in the pixel space. |
Zhaoyang Jia; Jiahao Li; Bin Li; Houqiang Li; Yan Lu; | cvpr | 2024-06-13 |
| 115 | Misalignment-Robust Frequency Distribution Loss for Image Transformation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to address a common challenge in deep learning-based image transformation methods such as image enhancement and super-resolution which heavily rely on precisely aligned paired datasets with pixel-level alignments. |
ZHANGKAI NI et. al. | cvpr | 2024-06-13 |
| 116 | Grid Diffusion Models for Text-to-Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These methods require large datasets and are limited in terms of computational costs compared to text-to-image generation. To tackle these challenges we propose a simple but effective novel grid diffusion for text-to-video generation without temporal dimension in architecture and a large text-video paired dataset. |
Taegyeong Lee; Soyeong Kwon; Taehwan Kim; | cvpr | 2024-06-13 |
| 117 | One-Shot Structure-Aware Stylized Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recently diffusion models have been adopted for image stylization but still lack the capability to maintain the original quality of input images. Building on this we propose OSASIS: a novel one-shot stylization method that is robust in structure preservation. |
Hansam Cho; Jonghyun Lee; Seunggyu Chang; Yonghyun Jeong; | cvpr | 2024-06-13 |
| 118 | Geometry Transfer for Stylizing Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce Geometry Transfer a novel method that leverages geometric deformation for 3D style transfer. |
HYUNYOUNG JUNG et. al. | cvpr | 2024-06-13 |
| 119 | ICE-G: Image Conditional Editing of 3D Gaussian Splats Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel approach to quickly edit a 3D model from a single reference view. |
VISHNU JAGANATHAN et. al. | arxiv-cs.CV | 2024-06-12 |
| 120 | TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: (2) They routinely lead to quality degradation for generation, especially in text-image alignment. This paper proposes a novel training-efficient Latent Consistency Model (TLCM) to overcome these challenges. |
Qingsong Xie; Zhenyi Liao; Zhijie Deng; Chen chen; Haonan Lu; | arxiv-cs.CV | 2024-06-09 |
| 121 | Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep generative models learn the data distribution, which is concentrated on a low-dimensional manifold. The geometric analysis of distribution transformation provides a better … |
Junhao Chen; Manyi Li; Zherong Pan; Xifeng Gao; Changhe Tu; | ArXiv | 2024-06-07 |
| 122 | Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a method to generate 3D objects in styles. Our method takes a text prompt and a style reference image as input and reconstructs a neural radiance field to synthesize a … |
Hubert Kompanowski; Binh-Son Hua; | ArXiv | 2024-06-05 |
| 123 | Application of An Improved U-Net with Image-to-image Translation and Transfer Learning in Peach Orchard Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
JIAYU CHENG et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2024-06-01 |
| 124 | MegActor: Harness The Power of Raw Video for Vivid Portrait Animation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom the subject of research. |
SHURONG YANG et. al. | arxiv-cs.CV | 2024-05-31 |
| 125 | SeamlessExpressiveLM: Speech Language Model for Expressive Speech-to-Speech Translation with Chain-of-Thought Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes SeamlessExpressiveLM, a single speech language model for expressive S2ST. |
Hongyu Gong; Bandhav Veluri; | arxiv-cs.CL | 2024-05-30 |
| 126 | LEAST: Local Text-conditioned Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we evaluate the text-conditioned image editing and style transfer techniques on their fine-grained understanding of user prompts for precise local style transfer. |
Silky Singh; Surgan Jandial; Simra Shahid; Abhinav Java; | arxiv-cs.CV | 2024-05-25 |
| 127 | Towards Evaluating The Robustness of Automatic Speech Recognition Systems Via Audio Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an attack on ASR systems based on user-customized style transfer. |
WEIFEI JIN et. al. | arxiv-cs.SD | 2024-05-15 |
| 128 | Empathy Through Aesthetics: Using AI Stylization for Visual Anonymization of Interview Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Faces are the primary source for identifying individuals, which need to be obstructed to achieve anonymization in images and videos. However, human faces are also one of the most … |
Ö. Yalçın; Vanessa Utz; Steve Dipaola; | Proceedings of the 3rd Empathy-Centric Design Workshop: … | 2024-05-11 |
| 129 | StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present StyleMamba, an efficient image style transfer framework that translates text prompts into corresponding visual styles while preserving the content integrity of the original images. |
Zijia Wang; Zhi-Song Liu; | arxiv-cs.CV | 2024-05-08 |
| 130 | TridentCap: Image-Fact-Style Trident Semantic Framework for Stylized Image Captioning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Stylized image captioning (SIC) aims to generate captions with target style for images. The biggest challenge is that the collection and annotation of stylized data are pretty … |
LANXIAO WANG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2024-05-01 |
| 131 | Towards Semantically Continuous Unpaired Image-to-image Translation Via Margin Adaptive Contrastive Learning and Wavelet Transform Related Papers Related Patents Related Grants Related Venues Related Experts View |
Heng Zhang; Yi-Jun Yang; Wei Zeng; | Expert Syst. Appl. | 2024-05-01 |
| 132 | CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce Controllable Artistic Radiance Fields (CoARF), a novel algorithm for controllable 3D scene stylization. |
Deheng Zhang; Clara Fernandez-Labrador; Christopher Schroers; | arxiv-cs.CV | 2024-04-23 |
| 133 | Music Style Transfer With Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The existing music style transfer methods generate spectrograms with artifacts, leading to significant noise in the generated audio. To address these issues, this study proposes a music style transfer framework based on diffusion models (DM) and uses spectrogram-based methods to achieve multi-to-multi music style transfer. |
Hong Huang; Yuyi Wang; Luyao Li; Jun Lin; | arxiv-cs.SD | 2024-04-23 |
| 134 | Regional Style and Color Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods often suffer from the drawback of applying style homogeneously across the entire image, leading to stylistic inconsistencies or foreground object twisted when applied to image with foreground elements such as person figures. To address this limitation, we propose a new approach that leverages a segmentation network to precisely isolate foreground objects within the input image. |
Zhicheng Ding; Panfeng Li; Qikai Yang; Siyang Li; Qingtian Gong; | arxiv-cs.CV | 2024-04-22 |
| 135 | Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an innovative technique to improve the quality of stylized images. |
ZHANJIE ZHANG et. al. | arxiv-cs.CV | 2024-04-21 |
| 136 | Towards Highly Realistic Artistic Style Transfer Via Stable Diffusion with Step-aware and Layer-aware Prompt Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, diffusion model-based methods generally fail to preserve the content structure of input content images well, introducing some undesired content structure and style patterns. To address the above problems, we propose a novel pre-trained diffusion-based artistic style transfer method, called LSAST, which can generate highly realistic artistic stylized images while preserving the content structure of input content images well, without bringing obvious artifacts and disharmonious style patterns. |
ZHANJIE ZHANG et. al. | arxiv-cs.CV | 2024-04-17 |
| 137 | Improved Object-Based Style Transfer with Single Deep Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This research paper proposes a novel methodology for image-to-image style transfer on objects utilizing a single deep convolutional neural network. |
Harshmohan Kulkarni; Om Khare; Ninad Barve; Sunil Mane; | arxiv-cs.CV | 2024-04-15 |
| 138 | Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Furthermore, applying ControlNets independently to different frames cannot effectively maintain object temporal consistency. To address these challenges, we introduce Ctrl-Adapter, an efficient and versatile framework that adds diverse controls to any image/video diffusion model through the adaptation of pretrained ControlNets. |
Han Lin; Jaemin Cho; Abhay Zala; Mohit Bansal; | arxiv-cs.CV | 2024-04-15 |
| 139 | Arbitrary Style Transfer Based on Content Integrity and Style Consistency Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The existing arbitrary style transfer methods mainly suffer two challenges. One is content integrity, as most methods focus too much on style, resulting in incomplete content … |
Lu Kang; Guoqiang Xiao; Michael S. Lew; Song Wu; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 140 | Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we target the task of text-driven style transfer in the context of text-to-image (T2I) diffusion models. |
YANQI GE et. al. | arxiv-cs.CV | 2024-04-10 |
| 141 | StylizedGS: Controllable Stylization for 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, the ability for artists to apply flexible control over stylized scenes is considered highly desirable to foster an environment conducive to creative exploration. To address the above issues, we introduce StylizedGS, an efficient 3D neural style transfer framework with adaptable control over perceptual factors based on 3D Gaussian Splatting (3DGS) representation. |
DINGXI ZHANG et. al. | arxiv-cs.CV | 2024-04-08 |
| 142 | Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider the stylization of sparse-view scenes in terms of disentangling content semantics and style textures. |
Y. Wang; A. Gao; Y. Gong; Y. Zeng; | arxiv-cs.CV | 2024-04-08 |
| 143 | RoNet: Rotation-oriented Continuous Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel rotation-oriented solution and model the continuous generation with an in-plane rotation over the style representation of an image, achieving a network named RoNet. |
Yi Li; Xin Xie; Lina Lei; Haiyan Fu; Yanqing Guo; | arxiv-cs.CV | 2024-04-05 |
| 144 | Pixel Art Character Generation As An Image-to-image Translation Problem Using GANs Related Papers Related Patents Related Grants Related Venues Related Experts View |
Flávio Coutinho; Luiz Chaimowicz; | Graph. Model. | 2024-04-01 |
| 145 | DiffStyler: Diffusion-based Localized Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recent developments in large-scale text-to-image diffusion models have heralded unprecedented synthesis capabilities, albeit at the expense of relying on extensive and often imprecise textual descriptions to delineate artistic styles. Addressing these limitations, this paper introduces DiffStyler, a novel approach that facilitates efficient and precise arbitrary image style transfer. |
Shaoxu Li; | arxiv-cs.CV | 2024-03-27 |
| 146 | Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle the significant inter-domain differences in cross-dataset EEG emotion recognition, this paper introduces an innovative solution known as the Emotional EEG Style Transfer Network (E$^2$STN). |
YIJIN ZHOU et. al. | arxiv-cs.HC | 2024-03-25 |
| 147 | AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, these methods frequently rely on textual input as the editing guidance, leading to ambiguities and limiting the types of edits they can perform. Recognizing these challenges, we introduce AnyV2V, a novel tuning-free paradigm designed to simplify video editing into two primary steps: (1) employing an off-the-shelf image editing model to modify the first frame, (2) utilizing an existing image-to-video generation model to generate the edited video through temporal feature injection. |
Max Ku; Cong Wei; Weiming Ren; Harry Yang; Wenhu Chen; | arxiv-cs.CV | 2024-03-21 |
| 148 | Implicit Style-Content Separation Using B-LoRA IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce B-LoRA, a method that leverages LoRA (Low-Rank Adaptation) to implicitly separate the style and content components of a single image, facilitating various image stylization tasks. |
Yarden Frenkel; Yael Vinker; Ariel Shamir; Daniel Cohen-Or; | arxiv-cs.CV | 2024-03-21 |
| 149 | Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, attackers rarely impose limitations on the naturalness and comfort of the appearance of the generated attack image, resulting in a noticeable and unnatural attack. To address this challenge, we propose a framework to incorporate style transfer to craft adversarial inputs of natural styles that exhibit minimal detectability and maximum natural appearance, while maintaining superior attack capabilities. |
Qianyu Guo; Jiaming Fu; Yawen Lu; Dongming Gan; | arxiv-cs.CV | 2024-03-21 |
| 150 | Diffusion-based Human Motion Style Transfer with Semantic Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, we may encounter a single unseen style example in practical scenarios, but not in sufficient quantity to constitute a style cluster for AdaIN-based methods. Therefore, in this paper, we propose a novel two-stage framework for few-shot style transfer learning based on the diffusion model. |
Lei Hu; Zihao Zhang; Yongjing Ye; Yiwen Xu; Shihong Xia; | arxiv-cs.GR | 2024-03-20 |
| 151 | Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present novel approaches involving generative adversarial networks and diffusion models in order to synthesize high quality, live and spoof fingerprint images while preserving features such as uniqueness and diversity. |
W. Tang; D. Figueroa; D. Liu; K. Johnsson; A. Sopasakis; | arxiv-cs.CV | 2024-03-20 |
| 152 | Generalized Consistency Trajectory Models for Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work aims to unlock the full potential of CTMs by proposing generalized CTMs (GCTMs), which translate between arbitrary distributions via ODEs. |
Beomsu Kim; Jaemin Kim; Jeongsol Kim; Jong Chul Ye; | arxiv-cs.CV | 2024-03-19 |
| 153 | LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To close the gap, we propose LocalStyleFool, an improved black-box video adversarial attack that superimposes regional style-transfer-based perturbations on videos. |
YUXIN CAO et. al. | arxiv-cs.CV | 2024-03-18 |
| 154 | Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given that many deterministic conditional image generative models have been able to produce high-quality yet fixed results, we raise an intriguing question: is it possible for pre-trained deterministic conditional image generative models to generate diverse results without changing network structures or parameters? To answer this question, we re-examine the conditional image generation tasks from the perspective of adversarial attack and propose a simple and efficient plug-in projected gradient descent (PGD) like method for diverse and controllable image generation. |
TIANYI CHU et. al. | arxiv-cs.CV | 2024-03-13 |
| 155 | Gaussian Splatting in Style Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose a novel architecture trained on a collection of style images that, at test time, produces real time high-quality stylized novel views. |
ABHISHEK SAROHA et. al. | arxiv-cs.CV | 2024-03-13 |
| 156 | StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce StyleDyRF, a method that represents the 4D feature space by deforming a canonical feature volume and learns a linear style transformation matrix on the feature volume in a data-driven fashion. |
Hongbin Xu; Weitao Chen; Feng Xiao; Baigui Sun; Wenxiong Kang; | arxiv-cs.CV | 2024-03-13 |
| 157 | StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce StyleGaussian, a novel 3D style transfer technique that allows instant transfer of any image’s style to a 3D scene at 10 frames per second (fps). |
KUNHAO LIU et. al. | arxiv-cs.CV | 2024-03-12 |
| 158 | Authorship Style Transfer with Policy Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a simple two-stage tune-and-optimize technique for low-resource textual style transfer. |
Shuai Liu; Shantanu Agarwal; Jonathan May; | arxiv-cs.CL | 2024-03-12 |
| 159 | Towards Model Extraction Attacks in GAN-Based Image Translation Via Domain Shift Mitigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Model extraction attacks (MEAs) enable an attacker to replicate the functionality of a victim deep neural network (DNN) model by only querying its API service remotely, posing a … |
DI MI et. al. | arxiv-cs.CR | 2024-03-12 |
| 160 | 3D-aware Image Generation and Editing with Multi-modal Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel end-to-end 3D-aware image generation and editing model incorporating multiple types of conditional inputs, including pure noise, text and reference image. |
Bo Li; Yi-ke Li; Zhi-fen He; Bin Liu; Yun-Kun Lai; | arxiv-cs.CV | 2024-03-11 |
| 161 | A Spatiotemporal Style Transfer Algorithm for Dynamic Visual Stimulus Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we introduce the Spatiotemporal Style Transfer (STST) algorithm, a dynamic visual stimulus generation framework that allows powerful manipulation and synthesis of video stimuli for vision research. |
Antonino Greco; Markus Siegel; | arxiv-cs.CV | 2024-03-07 |
| 162 | Foreground and Background Separated Image Style Transfer with A Single Text Condition Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yue Yu; Jianming Wang; Nengli Li; | Image Vis. Comput. | 2024-03-01 |
| 163 | Image Translation As Diffusion Visual Programmers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the novel Diffusion Visual Programmer (DVP), a neuro-symbolic image translation framework. |
CHENG HAN et. al. | iclr | 2024-02-26 |
| 164 | TOSS: High-quality Text-guided Novel View Synthesis from A Single Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. |
YUKAI SHI et. al. | iclr | 2024-02-26 |
| 165 | Ground-A-Video: Zero-shot Grounded Video Editing Using Text-to-image Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel grounding-guided video-to-video translation framework called Ground-A-Video for multi-attribute video editing. |
Hyeonho Jeong; Jong Chul Ye; | iclr | 2024-02-26 |
| 166 | Guiding Instruction-based Image Editing Via Multimodal Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Multimodal large language models (MLLMs) show promising capabilities in cross-modal understanding and visual-aware response generation via LMs. |
TSU-JUI FU et. al. | iclr | 2024-02-26 |
| 167 | On The Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our contributions include connecting $f$-divergence and score matching, unveiling insights into the impact of Gaussian noise on aligning probability distributions, and demonstrating generalized robustness implications. |
CHAOHUA SHI et. al. | iclr | 2024-02-26 |
| 168 | IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This raises a question: Why does the contrastive learning paradigm not yield satisfactory results in image restoration? In this paper, we conduct in-depth analyses and propose three guidelines to address the above question. |
Dongqi Fan; Xin Zhao; Liang Chang; | arxiv-cs.CV | 2024-02-24 |
| 169 | Counterfactual Generation with Identifiability Guarantees Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we tackle the domain-varying dependence between the content and the style variables inherent in the counterfactual generation task. |
HANQI YAN et. al. | arxiv-cs.LG | 2024-02-23 |
| 170 | Music Style Transfer with Time-Varying Inversion of Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a music style transfer approach that effectively captures musical attributes using minimal data. |
SIFEI LI et. al. | arxiv-cs.SD | 2024-02-21 |
| 171 | S2WAT: Image Style Transfer Via Hierarchical Vision Transformer Using Strips Window Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Strips Window Attention Transformer (S2WAT), a novel hierarchical vision transformer designed for style transfer. |
Chiyu Zhang; Xiaogang Xu; Lei Wang; Zaiyan Dai; Jun Yang; | aaai | 2024-02-20 |
| 172 | BARET: Balanced Attention Based Real Image Editing Driven By Target-Text Inversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e.g., foreground or background object editing, style transfer), multiple conditions (e.g., mask, sketch, caption), and time consuming fine-tuning of diffusion models. For alleviating these limitations and realizing efficient real image editing, we propose a novel editing technique that only requires an input image and target text for various editing types including non-rigid edits without fine-tuning diffusion model. |
YUMING QIAO et. al. | aaai | 2024-02-20 |
| 173 | DreamStyler: Paint By Style Inversion with Text-to-Image Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce DreamStyle, a novel framework designed for artistic image synthesis, proficient in both text-to-image synthesis and style transfer. |
NAMHYUK AHN et. al. | aaai | 2024-02-20 |
| 174 | SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an unsupervised image translation method with structural enhancement in frequency domain named SEIT. |
ZHIFENG ZHU et. al. | aaai | 2024-02-20 |
| 175 | FontDiffuser: One-Shot Font Generation Via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although existing font generation methods have achieved satisfactory performance, they still struggle with complex characters and large style variations. To address these issues, we propose FontDiffuser, a diffusion-based image-to-image one-shot font generation method, which innovatively models the font imitation task as a noise-to-denoise paradigm. |
ZHENHUA YANG et. al. | aaai | 2024-02-20 |
| 176 | FedST: Federated Style Transfer Learning for Non-IID Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel federated image segmentation method based on style transfer, FedST, by using a denoising diffusion probabilistic model to achieve feature disentanglement and image synthesis of cross-domain image data between multiple clients. |
BOYUAN MA et. al. | aaai | 2024-02-20 |
| 177 | ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods, including color style transfer and image harmonization, exhibit inconsistencies, especially at boundary regions. Addressing this, we present ChromaFusionNet (CFNet), a novel approach that views the color fusion problem through the lens of image color inpainting. |
YI DONG et. al. | aaai | 2024-02-20 |
| 178 | HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing Via Hypernetworks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In response, we propose an innovative image editing method called HyperEditor, which utilizes weight factors generated by hypernetworks to reassign the weights of the pre-trained StyleGAN2’s generator. |
Hai Zhang; Chunwei Wu; Guitao Cao; Hailing Wang; Wenming Cao; | aaai | 2024-02-20 |
| 179 | Learning to Manipulate Artistic Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an arbitrary Style Image Manipulation Network (SIM-Net), which leverages semantic-free information as guidance and a region transportation strategy in a self-supervised manner for image generation. |
Wei Guo; Yuqi Zhang; De Ma; Qian Zheng; | aaai | 2024-02-20 |
| 180 | FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present FPRF, a feed-forward photorealistic style transfer method for large-scale 3D neural radiance fields. |
GeonU Kim; Kim Youwang; Tae-Hyun Oh; | aaai | 2024-02-20 |
| 181 | Scalable Motion Style Transfer with Constrained Diffusion Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent image transfer works show the potential of independent training on each domain by leveraging implicit bridging between diffusion models, with the content preservation, however, limited to simple data patterns. We address this by imposing biased sampling in backward diffusion while maintaining the domain independence in the training stage. |
Wenjie Yin; Yi Yu; Hang Yin; Danica Kragic; Mårten Björkman; | aaai | 2024-02-20 |
| 182 | ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Small model-based approaches can preserve the content strucuture, but fail to produce highly realistic stylized images and introduce artifacts and disharmonious patterns; Pre-trained large-scale model-based approaches can generate highly realistic stylized images but struggle with preserving the content structure. To address the above issues, we propose ArtBank, a novel artistic style transfer framework, to generate highly realistic stylized images while preserving the content structure of the content images. |
ZHANJIE ZHANG et. al. | aaai | 2024-02-20 |
| 183 | Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we compare image-to-image translation networks based on GANs and diffusion models for the downstream task of 6D object pose estimation. |
Peter Hönig; Stefan Thalhammer; Markus Vincze; | arxiv-cs.CV | 2024-02-09 |
| 184 | Application of Multi-level Adaptive Neural Network Based on Optimization Algorithm in Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hong-an Li; Lanye Wang; Jun Liu; | Multim. Tools Appl. | 2024-02-09 |
| 185 | Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address his issue, we propose a strategy for inducing a shape bias to CNN training. |
Peter Hönig; Stefan Thalhammer; Jean-Baptiste Weibel; Matthias Hirschmanner; Markus Vincze; | arxiv-cs.CV | 2024-02-07 |
| 186 | IGUANe: A 3D Generalizable CycleGAN for Multicenter Harmonization of Brain MR Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we introduce IGUANe (Image Generation with Unified Adversarial Networks), an original 3D model that leverages the strengths of domain translation and straightforward application of style transfer methods for multicenter brain MR image harmonization. |
Vincent Roca; Grégory Kuchcinski; Jean-Pierre Pruvo; Dorian Manouvriez; Renaud Lopes; | arxiv-cs.CV | 2024-02-05 |
| 187 | ToonAging: Face Re-Aging Upon Artistic Portrait Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel one-stage method for face re-aging combined with portrait style transfer, executed in a single generative step. |
Bumsoo Kim; Abdul Muqeet; Kyuchul Lee; Sanghyun Seo; | arxiv-cs.CV | 2024-02-05 |
| 188 | ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce ConRF, a novel method of zero-shot stylization. |
XINGYU MIAO et. al. | arxiv-cs.CV | 2024-02-02 |
| 189 | Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel phrase grounding-based style transfer (PGST) approach for the task. |
HAO LI et. al. | arxiv-cs.CV | 2024-02-02 |
| 190 | Towards Efficient Image and Video Style Transfer Via Distillation and Learnable Feature Transformation Related Papers Related Patents Related Grants Related Venues Related Experts View |
JING HUO et. al. | Comput. Vis. Image Underst. | 2024-02-01 |
| 191 | Transferring Human Emotions to Robot Motions Using Neural Policy Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The proposed approach was evaluated for both platforms, performing a total of 147 questionnaires asking human subjects to recognize the human motion style transferred to the robot motion for a predefined set of actions. |
Raul Fernandez-Fernandez; Bartek Łukawski; Juan G. Victores; Claudio Pacchierotti; | arxiv-cs.RO | 2024-02-01 |
| 192 | Panoptic-Level Image-to-Image Translation for Object Recognition and Visual Odometry Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation methods have progressed from only considering the image-level information to integrating the global- and instance-level information. However, only the … |
LIYUN ZHANG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2024-02-01 |
| 193 | LATENTPATCH: A Non-Parametric Approach for Face Generation and Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents LatentPatch, a new method for generating realistic images from a small dataset of only a few images. |
Benjamin Samuth; Julien Rabin; David Tschumperlé; Frédéric Jurie; | arxiv-cs.MM | 2024-01-30 |
| 194 | FreeStyle: Free Lunch for Text-guided Style Transfer Using Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce FreeStyle, an innovative style transfer method built upon a pre-trained large diffusion model, requiring no further optimization. |
FEIHONG HE et. al. | arxiv-cs.CV | 2024-01-28 |
| 195 | CreativeSynth: Creative Blending and Synthesis of Visual Arts Based on Multimodal Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Large-scale text-to-image generative models have made impressive strides, showcasing their ability to synthesize a vast array of high-quality images. |
NISHA HUANG et. al. | arxiv-cs.CV | 2024-01-25 |
| 196 | BlenDA: Domain Adaptive Object Detection Through Diffusion-based Blending Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the large domain gap issue between the source and target domains, we propose a novel regularization method for domain adaptive object detection, BlenDA, by generating the pseudo samples of the intermediate domains and their corresponding soft domain labels for adaptation training. |
Tzuhsuan Huang; Chen-Che Huang; Chung-Hao Ku; Jun-Cheng Chen; | arxiv-cs.CV | 2024-01-18 |
| 197 | Image Translation As Diffusion Visual Programmers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the novel Diffusion Visual Programmer (DVP), a neuro-symbolic image translation framework. |
CHENG HAN et. al. | arxiv-cs.CV | 2024-01-18 |
| 198 | Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Locally Adaptive Adversarial Color Attack (LAACA), empowering artists to protect their artwork from unauthorized style transfer by processing before public release. |
ZHONGLIANG GUO et. al. | arxiv-cs.CV | 2024-01-17 |
| 199 | Key-point Guided Deformable Image Manipulation Using Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a Key-point-guided Diffusion probabilistic Model (KDM) that gains precise control over images by manipulating the object’s key-point. |
SEOK-HWAN OH et. al. | arxiv-cs.CV | 2024-01-16 |
| 200 | CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing research mainly concentrates on style transfer within individual English sentences, while ignoring the complexity of long Chinese texts, which limits the wider applicability of style transfer in digital media realm. To bridge this gap, we propose a Chinese Article-style Transfer framework (CAT-LLM), leveraging the capabilities of Large Language Models (LLMs). |
Zhen Tao; Dinghao Xi; Zhiyu Li; Liumin Tang; Wei Xu; | arxiv-cs.CL | 2024-01-11 |
| 201 | HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the specific, our model is constructed based on Latent Diffusion Model (LDM) and elaborately designed to absorb content and style instance as conditions of LDM. |
HANZHANG WANG et. al. | arxiv-cs.CV | 2024-01-11 |
| 202 | Let’s Go Shopping (LGS) – Web-Scale Image-Text Dataset for Visual Concept Understanding IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial … |
YATONG BAI et. al. | ArXiv | 2024-01-09 |
| 203 | Let’s Go Shopping (LGS) — Web-Scale Image-Text Dataset for Visual Concept Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the Let’s Go Shopping (LGS) dataset, a large-scale public dataset with 15 million image-caption pairs from publicly available e-commerce websites. |
YATONG BAI et. al. | arxiv-cs.CV | 2024-01-09 |
| 204 | MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation By Prompts Redescription and Beyond Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To make reconstruction explicit, we propose a prompt redescription strategy to realize a mirror effect between the source and reconstructed image in the diffusion model (MirrorDiffusion). |
Yupei Lin; Xiaoyu Xian; Yukai Shi; Liang Lin; | arxiv-cs.CV | 2024-01-06 |
| 205 | Neural Style Protection: Counteracting Unauthorized Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Arbitrary neural style transfer is an advanced AI technique that can effectively synthesize pictures with an artistic style similar to a given source picture. However, if such an … |
Yaxin Li; Jie Ren; Han Xu; Hui Liu; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-03 |
| 206 | FaceRefiner: High-Fidelity Facial Texture Refinement With Differentiable Rendering-Based Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent facial texture generation methods prefer to use deep networks to synthesize image content and then fill in the UV map, thus generating a compelling full texture from a … |
CHENGYANG LI et. al. | IEEE Transactions on Multimedia | 2024-01-01 |
| 207 | Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The accurate detection of ID card Presentation Attacks (PA) is becoming increasingly important due to the rising number of online/remote services that require the presentation of … |
Reuben P. Markham; Juan M. Espín López; Mario Nieto-Hidalgo; Juan E. Tapia; | IEEE Access | 2024-01-01 |
| 208 | Fine-Grained Human Hair Segmentation Using A Text-to-Image Diffusion Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human hair segmentation is essential for face recognition and for achieving natural transformation of style transfer. However, it remains a challenging task due to the diverse … |
Dohyun Kim; Euna Lee; Daehyun Yoo; Hongchul Lee; | IEEE Access | 2024-01-01 |
| 209 | Multi-level Patch Transformer for Style Transfer with Single Reference Image Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yue He; Lan Chen; Yu-Jie Yuan; Shu-Yu Chen; Lin Gao; | International Conference on Computational Visual Media | 2024-01-01 |
| 210 | GCSANet: Arbitrary Style Transfer With Global Context Self-Attentional Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Arbitrary style transfer is attracting increasing attention in the computer vision community due to its application flexibility. Existing approaches directly fuse deep style … |
Zhongyu Bai; Hongli Xu; X. Zhang; Qichuan Ding; | IEEE Transactions on Multimedia | 2024-01-01 |
| 211 | AdvST: Generating Unrestricted Adversarial Images Via Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have witnessed extensive applications of Deep Neural Networks (DNNs) in various vision tasks. However, DNNs are vulnerable to adversarial images crafted by … |
XIAOMENG WANG et. al. | IEEE Transactions on Multimedia | 2024-01-01 |
| 212 | A Generative Adversarial Network AMS-CycleGAN for Multi-Style Image Transformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The objective of image style transfer is to create an image that has the artistic features of a reference style image while also retaining the details of the original content … |
XIAODI RANG et. al. | IEEE Access | 2024-01-01 |
| 213 | Multi-Source Style Transfer Via Style Disentanglement Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the great success of deep neural networks for style transfer tasks, the entanglement of content and style in images leads to more style information not being captured. To … |
Quan Wang; Sheng Li; Zichi Wang; Xinpeng Zhang; Guorui Feng; | IEEE Transactions on Multimedia | 2024-01-01 |
| 214 | UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of diffusion models (DMs) has not only transformed various real-world industries but has also introduced negative societal concerns, including the generation … |
YIHUA ZHANG et. al. | ArXiv | 2024-01-01 |
| 215 | Self-Supervised Underwater Image Generation for Underwater Domain Pre-Training Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid progress in computer vision has presented new opportunities for enhancing the visual capabilities of underwater robots. However, most deep learning-based visual … |
Zhi-zong Wu; Zhengxing Wu; Xingyu Chen; Yue Lu; Junzhi Yu; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 216 | Comparison of Deep Learning Image-to-image Models for Medical Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zeyu Yang; Frank G. Zöllner; | Bildverarbeitung für die Medizin | 2024-01-01 |
| 217 | Side-Scan Sonar Image Classification With Zero-Shot and Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Side-scan sonar (SSS) has become an important tool for ocean exploration due to its practicality and reliability. Existing approaches for SSS image classification mainly rely on … |
Zhongyu Bai; Hongli Xu; Qichuan Ding; Xiangyue Zhang; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 218 | Progressive Fourier Adversarial Domain Adaptation for Object Classification and Retrieval Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Domain adaptation has been extensively explored as a means of transferring knowledge from the labeled source domain to the unlabeled target domain with disparate data … |
TIANBAO LI et. al. | IEEE Transactions on Multimedia | 2024-01-01 |
| 219 | Visible-to-Infrared Image Translation for Matching Tasks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visible-to-infrared image translation is an important way to enrich infrared data. However, the reliability of the data generated by image translation in downstream tasks has … |
Decao Ma; Shaopeng Li; Juan Su; Yong Xian; Tao Zhang; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 220 | Ultrasound Despeckling With GANs and Cross Modality Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ultrasound images are corrupted by a type of signal-dependent noise, called speckle, difficult to remove or attenuate with the classical denoising methods. On the contrary, … |
DIOGO FRÓIS VIEIRA et. al. | IEEE Access | 2024-01-01 |
| 221 | RainSD: Rain Style Diversification Module for Image Synthesis Enhancement Using Feature-Level Style Distribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a synthetic road dataset with sensor blockage generated from real road dataset BDD100K is suggested in the format of BDD100K annotation. |
HYEONJAE JEON et. al. | arxiv-cs.CV | 2023-12-31 |
| 222 | RAST: Restorable Arbitrary Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The objective of arbitrary style transfer is to apply a given artistic or photo-realistic style to a target image. Although current methods have shown some success in transferring … |
Yingnan Ma; Chenqiu Zhao; Bingran Huang; Xudong Li; Anup Basu; | ACM Transactions on Multimedia Computing, Communications … | 2023-12-30 |
| 223 | Text Fact Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Text style transfer is a prominent task that aims to control the style of text without inherently changing its factual content. To cover more text modification applications, such as adapting past news for current events and repurposing educational materials, we propose the task of text fact transfer, which seeks to transfer the factual content of a source text between topics without modifying its style. |
Nishant Balepur; Jie Huang; Kevin Chang; | emnlp | 2023-12-22 |
| 224 | Open-Set: ID Card Presentation Attack Detection Using Neural Transfer Style Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work explores ID card Presentation Attack Instruments (PAI) in order to improve the generation of samples with four Generative Adversarial Networks (GANs) based image translation models and analyses the effectiveness of the generated data for training fraud detection systems. |
Reuben Markham; Juan M. Espin; Mario Nieto-Hidalgo; Juan E. Tapia; | arxiv-cs.CV | 2023-12-21 |
| 225 | DETER: Detecting Edited Regions for Deterring Generative Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To counteract the shortcomings, we introduce DETER, a large-scale dataset for DETEcting edited image Regions and deterring modern advanced generative manipulations. |
SAI WANG et. al. | arxiv-cs.CV | 2023-12-16 |
| 226 | LogoStyleFool: Vitiating Video Recognition Systems Via Logo Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on the video black-box setting and propose a novel attack framework named LogoStyleFool by adding a stylized logo to the clean video. |
YUXIN CAO et. al. | arxiv-cs.CV | 2023-12-15 |
| 227 | CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the challenges of style transfer in multi-modal visual narratives. |
Yi-Chun Chen; Arnav Jhala; | arxiv-cs.CV | 2023-12-14 |
| 228 | Towards Better Morphed Face Images Without Ghosting Artifacts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method for automatic prevention of ghosting artifacts based on a pixel-wise alignment during morph generation. |
Clemens Seibold; Anna Hilsmann; Peter Eisert; | arxiv-cs.CV | 2023-12-13 |
| 229 | Scalable Motion Style Transfer with Constrained Diffusion Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent image transfer works show the potential of independent training on each domain by leveraging implicit bridging between diffusion models, with the content preservation, however, limited to simple data patterns. We address this by imposing biased sampling in backward diffusion while maintaining the domain independence in the training stage. |
Wenjie Yin; Yi Yu; Hang Yin; Danica Kragic; Mårten Björkman; | arxiv-cs.CV | 2023-12-12 |
| 230 | Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose Diffusion Cocktail (Ditail), a training-free method that transfers style and content information between multiple diffusion models. |
Haoming Liu; Yuanhe Guo; Shengjie Wang; Hongyi Wen; | arxiv-cs.CV | 2023-12-11 |
| 231 | ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Small model-based approaches can preserve the content strucuture, but fail to produce highly realistic stylized images and introduce artifacts and disharmonious patterns; Pre-trained large-scale model-based approaches can generate highly realistic stylized images but struggle with preserving the content structure. To address the above issues, we propose ArtBank, a novel artistic style transfer framework, to generate highly realistic stylized images while preserving the content structure of the content images. |
ZHANJIE ZHANG et. al. | arxiv-cs.CV | 2023-12-11 |
| 232 | Neutral Editing Framework for Diffusion-based Video Editing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text-conditioned image editing has succeeded in various types of editing based on a diffusion framework. Unfortunately, this success did not carry over to a video, which continues … |
Sunjae Yoon; Gwanhyeong Koo; Jiajing Hong; Changdong Yoo; | ArXiv | 2023-12-10 |
| 233 | AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a lightweight but effective model, AesFA — Aesthetic Feature-Aware NST. |
Joonwoo Kwon; Sooyoung Kim; Yuewei Lin; Shinjae Yoo; Jiook Cha; | arxiv-cs.CV | 2023-12-10 |
| 234 | Anything to Glyph: Artistic Font Synthesis Via Text-to-Image Diffusion Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The automatic generation of artistic fonts is a challenging task that attracts many research interests. Previous methods specifically focus on glyph or texture style transfer. … |
CHANGSHUO WANG et. al. | SIGGRAPH Asia 2023 Conference Papers | 2023-12-10 |
| 235 | BARET : Balanced Attention Based Real Image Editing Driven By Target-text Inversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e.g., foreground or background object editing, style transfer), multiple conditions (e.g., mask, sketch, caption), and time consuming fine-tuning of diffusion models. For alleviating these limitations and realizing efficient real image editing, we propose a novel editing technique that only requires an input image and target text for various editing types including non-rigid edits without fine-tuning diffusion model. |
YUMING QIAO et. al. | arxiv-cs.CV | 2023-12-09 |
| 236 | MuVieCAST: Multi-View Consistent Artistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce MuVieCAST, a modular multi-view consistent style transfer network architecture that enables consistent style transfer between multiple viewpoints of the same scene. |
Nail Ibrahimli; Julian F. P. Kooij; Liangliang Nan; | arxiv-cs.CV | 2023-12-08 |
| 237 | Towards 4D Human Video Stylization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a first step towards 4D (3D and time) human video stylization, which addresses style transfer, novel view synthesis and human animation within a unified framework. |
Tiantian Wang; Xinxin Zuo; Fangzhou Mu; Jian Wang; Ming-Hsuan Yang; | arxiv-cs.CV | 2023-12-07 |
| 238 | LEGO: Learning EGOcentric Action Frame Generation Via Visual Instruction Tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel problem — egocentric action frame generation. |
BOLIN LAI et. al. | arxiv-cs.CV | 2023-12-06 |
| 239 | Geometric Style Transfer for Face Portraits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Geometric style transfer jointly stylizes the texture and geometry of a content image to better match a style image, which has attracted widespread attention due to its various … |
Miaomiao Dai; Hao Yin; Ran Yi; Lizhuang Ma; | Proceedings of the 5th ACM International Conference on … | 2023-12-06 |
| 240 | Style Transfer to Calvin and Hobbes Comics Using Stable Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This project report summarizes our journey to perform stable diffusion fine-tuning on a dataset containing Calvin and Hobbes comics. |
Sloke Shrestha; Sundar Sripada V. S.; Asvin Venkataramanan; | arxiv-cs.CV | 2023-12-06 |
| 241 | Multimodality-guided Image Style Transfer Using Cross-modal GAN Inversion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, many TIST approaches produce undesirable artifacts in the transferred images. To address this issue, we present a novel method to achieve much improved style transfer based on text guidance. |
Hanyu Wang; Pengxiang Wu; Kevin Dela Rosa; Chen Wang; Abhinav Shrivastava; | arxiv-cs.CV | 2023-12-04 |
| 242 | MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recent image manipulation localization and detection techniques typically leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM or Bayar convolution. In this paper, we showcase that different filters commonly used in such approaches excel at unveiling different types of manipulations and provide complementary forensic traces. |
Kostas Triaridis; Konstantinos Tsigos; Vasileios Mezaris; | arxiv-cs.CV | 2023-12-04 |
| 243 | SASSL: Enhancing Self-Supervised Learning Via Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This results in distorted augmented samples with compromised semantic information, ultimately impacting downstream performance. To overcome this limitation, we propose SASSL: Style Augmentations for Self Supervised Learning, a novel data augmentation technique based on Neural Style Transfer. |
RENAN A. ROJAS-GOMEZ et. al. | arxiv-cs.CV | 2023-12-02 |
| 244 | Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In detail, when using a single image, the instability caused by batch normalization layers and entropy loss significantly destabilizes many existing methods in real-world cTTA scenarios. To overcome these challenges, we present BESTTA, a novel single image continual test-time adaptation method guided by style transfer, which enables stable and efficient adaptation to the target environment by transferring the style of the input image to the source style. |
Younggeol Cho; Youngrae Kim; Dongman Lee; | arxiv-cs.CV | 2023-11-30 |
| 245 | InstaStyle: Inversion Noise of A Stylized Image Is Secretly A Style Adviser Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose InstaStyle, a novel approach that excels in generating high-fidelity stylized images with only a single reference image. |
XING CUI et. al. | arxiv-cs.CV | 2023-11-25 |
| 246 | Z*: Zero-shot Style Transfer Via Attention Rearrangement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the remarkable progress in image style transfer, formulating style in the context of art is inherently subjective and challenging. In contrast to existing learning/tuning … |
Yingying Deng; Xiangyu He; Fan Tang; Weiming Dong; | ArXiv | 2023-11-25 |
| 247 | Neural Style Transfer for Computer Games Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we present an approach for injecting depth-aware NST as part of the 3D rendering pipeline. |
Eleftherios Ioannou; Steve Maddock; | arxiv-cs.CV | 2023-11-24 |
| 248 | Highly Detailed and Temporal Consistent Video Stylization Via Synchronized Multi-Frame Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a synchronized multi-frame diffusion framework to maintain both the visual details and the temporal consistency. |
Minshan Xie; Hanyuan Liu; Chengze Li; Tien-Tsin Wong; | arxiv-cs.CV | 2023-11-24 |
| 249 | FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike existing methods that require either training auxiliary networks or fine-tuning a large pre-trained backbone, or both, to harmonize a foreground object with a painterly-style background image, our FreePIH tames the denoising process as a plug-in module for foreground image style transfer. Specifically, we find that the very last few steps of the denoising (i.e., generation) process strongly correspond to the stylistic information of images, and based on this, we propose to augment the latent features of both the foreground and background images with Gaussians for a direct denoising-based harmonization. |
Ruibin Li; Jingcai Guo; Song Guo; Qihua Zhou; Jie Zhang; | arxiv-cs.CV | 2023-11-24 |
| 250 | A New Benchmark and Model for Challenging Image Manipulation Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To investigate the State-of-The-Art (SoTA) IMD methods in those challenging conditions, we introduce a new Challenging Image Manipulation Detection (CIMD) benchmark dataset, which consists of two subsets, for evaluating editing-based and compression-based IMD methods, respectively. |
Zhenfei Zhang; Mingyang Li; Ming-Ching Chang; | arxiv-cs.CV | 2023-11-23 |
| 251 | 3D Face Style Transfer with A Hybrid Solution of NeRF and Mesh Rasterization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem of 3D face style transfer which aims at generating stylized novel views of a 3D human face with multi-view consistency. |
Jianwei Feng; Prateek Singhal; | arxiv-cs.CV | 2023-11-22 |
| 252 | Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, most current methods require reference to stylized images and cannot individually stylize specific objects. To overcome this limitation, we propose the Soulstyler framework, which allows users to guide the stylization of specific objects in an image through simple textual descriptions. |
JUNHAO CHEN et. al. | arxiv-cs.CV | 2023-11-22 |
| 253 | Hairstyle-and-identity-aware Facial Image Style Transfer with Region-guiding Masks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hsin-Ying Wang; Chiu-Wei Chien; Ming-Han Tsai; I-Chen Lin; | Multim. Tools Appl. | 2023-11-15 |
| 254 | FastBlend: A Powerful Model-Free Toolkit Making Video Stylization Easier Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: With the emergence of diffusion models and rapid development in image processing, it has become effortless to generate fancy images in tasks such as style transfer and image … |
ZHONGJIE DUAN et. al. | ArXiv | 2023-11-15 |
| 255 | PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, previous text style transfer primarily focused on sentence-level data-driven approaches, limiting exploration of potential problems in large language models (LLMs) and the ability to meet complex application needs. To overcome these limitations, we introduce a novel task called Public-Speaking Style Transfer (PSST), which aims to simulate humans to transform passage-level, official texts into a public-speaking style. |
HUASHAN SUN et. al. | arxiv-cs.CL | 2023-11-14 |
| 256 | STEER: Unified Style Transfer with Expert Reinforcement Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on arbitrary style transfer: rewriting a text from an arbitrary, unknown style to a target style. |
SKYLER HALLINAN et. al. | arxiv-cs.CL | 2023-11-13 |
| 257 | ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new task for “stylizing” text-to-image models, namely text-driven stylized image generation, that further enhances editability in content creation. |
Jingwen Chen; Yingwei Pan; Ting Yao; Tao Mei; | arxiv-cs.CV | 2023-11-09 |
| 258 | SCONE-GAN: Semantic Contrastive Learning-based Generative Adversarial Network for An End-to-end Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: That is because these methods learn more frequent associations rather than the scene structures. To mitigate the problem, we propose SCONE-GAN that utilises graph convolutional networks to learn the objects dependencies, maintain the image structure and preserve its semantics while transferring images into the target domain. |
IMAN ABBASNEJAD et. al. | arxiv-cs.CV | 2023-11-07 |
| 259 | PRISM: Progressive Restoration for Scene Graph-based Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Scene graphs have emerged as accurate descriptive priors for image generation and manipulation tasks, however, their complexity and diversity of the shapes and relations of objects in data make it challenging to incorporate them into the models and generate high-quality results. To address these challenges, we propose PRISM, a novel progressive multi-head image manipulation approach to improve the accuracy and quality of the manipulated regions in the scene. |
Pavel Jahoda; Azade Farshad; Yousef Yeganeh; Ehsan Adeli; Nassir Navab; | arxiv-cs.LG | 2023-11-03 |
| 260 | Optimal Image Transport on Sparse Dictionaries Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we derive a novel optimal image transport algorithm over sparse dictionaries by taking advantage of Sparse Representation (SR) and Optimal Transport (OT). |
Junqing Huang; Haihui Wang; Andreas Weiermann; Michael Ruzhansky; | arxiv-cs.CV | 2023-11-03 |
| 261 | Expanding Expressiveness of Diffusion Models with Limited Data Via Self-Distillation Based Fine-Tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Training diffusion models on limited datasets poses challenges in terms of limited generation capacity and expressiveness, leading to unsatisfactory results in various downstream tasks utilizing pretrained diffusion models, such as domain translation and text-guided image manipulation. In this paper, we propose Self-Distillation for Fine-Tuning diffusion models (SDFT), a methodology to address these challenges by leveraging diverse features from diffusion models pretrained on large source datasets. |
Jiwan Hur; Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Junmo Kim; | arxiv-cs.CV | 2023-11-02 |
| 262 | Novel View Synthesis from A Single RGBD Image for Indoor Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an approach for synthesizing novel view images from a single RGBD (Red Green Blue-Depth) input. |
Congrui Hetang; Yuping Wang; | arxiv-cs.CV | 2023-11-02 |
| 263 | CFA-GAN: Cross Fusion Attention and Frequency Loss for Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
XIANGTIAN ZHENG et. al. | Displays | 2023-11-01 |
| 264 | InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View |
SOOHYUN KIM et. al. | Int. J. Comput. Vis. | 2023-10-31 |
| 265 | Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a feature domain style mixing technique that uses adaptive instance normalization to generate style-augmented versions of images. |
Vaibhav Khamankar; Sutanu Bera; Saumik Bhattacharya; Debashis Sen; Prabir Kumar Biswas; | arxiv-cs.CV | 2023-10-31 |
| 266 | An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, an implementation scheme of an intelligent digital human generation system with multimodal fusion is proposed. |
Yingjie Zhou; Yaodong Chen; Kaiyue Bi; Lian Xiong; Hui Liu; | arxiv-cs.MM | 2023-10-31 |
| 267 | Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a comprehensive overview of a novel technique for style transfer using Convolutional Neural Networks (CNNs). |
Jonayet Miah; Duc M Cao; Md Abu Sayed; Md. Sabbirul Haque; | arxiv-cs.CV | 2023-10-27 |
| 268 | Rethinking Neural Style Transfer: Generating Personalized and Watermarked Stylized Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer (NST) has attracted many research interests recent years. The existing NST schemes could only generate one stylized image from a content-style image pair. … |
Quan Wang; Sheng Li; Xinpeng Zhang; Guorui Feng; | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 269 | Style Transfer Meets Super-Resolution: Advancing Unpaired Infrared-to-Visible Image Translation with Detail Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The problem of unpaired infrared-to-visible image translation has gained significant attention due to its ability to generate visible images with color information from low-detail … |
Yirui Shen; Jingxuan Kang; Shuang Li; Zhenjie Yu; Shuigen Wang; | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 270 | Interactive Image Style Transfer Guided By Graffiti Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer (NST) can quickly produce impressive artistic images, which allows ordinary people to become painter. The brushstrokes of stylized images created by the … |
Quan Wang; Yanli Ren; Xinpeng Zhang; Guorui Feng; | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 271 | Region-controlled Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, they fail to control the strength of textures in different regions of the content image. To address this issue, we propose a training method that uses a loss function to constrain the style intensity in different regions. |
Junjie Kang; Jinsong Wu; Shiqi Jiang; | arxiv-cs.CV | 2023-10-24 |
| 272 | Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Non-isotropic Gaussian Diffusion Model (NGDM) for image-to-image translation and image editing, which require translating or editing the source image while preserving the image regions irrelevant to the translation/editing task. |
Xi Yu; Xiang Gu; Haozhi Liu; Jian Sun; | nips | 2023-10-24 |
| 273 | ViSt3D: Video Stylization with 3D CNN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To the best of our knowledge, we present the first approach to video stylization using 3D CNN directly, building upon insights from 2D image stylization. |
Ayush Pande; Gaurav Sharma; | nips | 2023-10-24 |
| 274 | ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel manipulation methodology, dubbed ImageBrush, that learns visual instructions for more accurate image editing. |
YA SHENG SUN et. al. | nips | 2023-10-24 |
| 275 | RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the leakage of the source pose in conditional guidance, we propose gradient guidance from pose interaction fields, which output the distance from the valid pose manifold given a predicted pose as input. |
Anant Khandelwal; | arxiv-cs.CV | 2023-10-24 |
| 276 | Text Fact Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Text style transfer is a prominent task that aims to control the style of text without inherently changing its factual content. To cover more text modification applications, such as adapting past news for current events and repurposing educational materials, we propose the task of text fact transfer, which seeks to transfer the factual content of a source text between topics without modifying its style. |
Nishant Balepur; Jie Huang; Kevin Chen-Chuan Chang; | arxiv-cs.CL | 2023-10-22 |
| 277 | Ladder Bottom-up Convolutional Bidirectional Variational Autoencoder for Image Translation of Dotted Arabic Expiration Dates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an approach of Ladder Bottom-up Convolutional Bidirectional Variational Autoencoder (LCBVAE) architecture for the encoder and decoder, which is trained on the image translation of the dotted Arabic expiration dates by reconstructing the Arabic dotted expiration dates into filled-in expiration dates. |
Ahmed Zidane; Ghada Soliman; | arxiv-cs.CV | 2023-10-21 |
| 278 | CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Cyclenet, a novel but simple method that incorporates cycle consistency into DMs to regularize image manipulation. |
Sihan Xu; Ziqiao Ma; Yidong Huang; Honglak Lee; Joyce Chai; | arxiv-cs.CV | 2023-10-19 |
| 279 | TOSS: High-quality Text-guided Novel View Synthesis from A Single Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. While Zero-1-to-3 has demonstrated impressive … |
YUKAI SHI et. al. | ArXiv | 2023-10-16 |
| 280 | TOSS:High-quality Text-guided Novel View Synthesis from A Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. |
YUKAI SHI et. al. | arxiv-cs.CV | 2023-10-16 |
| 281 | Chinese Painting Style Transfer Using Deep Generative Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we will study and leverage different state-of-the-art deep generative models for Chinese painting style transfer and evaluate the performance both qualitatively and quantitatively. |
Weijian Ma; Yanyang Kong; | arxiv-cs.CV | 2023-10-15 |
| 282 | LOVECon: Text-driven Training-Free Long Video Editing with ControlNet Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to bridge the gap, establishing a simple and effective baseline for training-free diffusion model-based long video editing. |
Zhenyi Liao; Zhijie Deng; | arxiv-cs.CV | 2023-10-14 |
| 283 | Does Resistance to Style-transfer Equal Global Shape Bias? Measuring Network Sensitivity to Global Shape Configuration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The current benchmark for evaluating a model’s global shape bias is a set of style-transferred images with the assumption that resistance to the attack of style transfer is related to the development of global structure sensitivity in the model. In this work, we show that networks trained with style-transfer images indeed learn to ignore style, but its shape bias arises primarily from local detail. |
Ziqi Wen; Tianqin Li; Zhi Jing; Tai Sing Lee; | arxiv-cs.CV | 2023-10-11 |
| 284 | Large Capacity Generative Image Steganography Via Image Style Transfer and Feature-wise Deep Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View |
Youqiang Sun; Jianyi Liu; Ru Zhang; | Applied Intelligence | 2023-10-11 |
| 285 | Cancellable Biometric Authentication System By Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, we have more and more opportunities to identify ourselves through information devices. In this paper, we propose a cancellable biometric authentication system, where … |
Souta Yamamoto; Hiroyuki Inaba; | 2023 IEEE 12th Global Conference on Consumer Electronics … | 2023-10-10 |
| 286 | Text-Guided Facial Image Manipulation for Wild Images Via Manipulation Direction-Based Loss Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a novel text-guided facial image manipulation approach to improve robustness against the diversity of input images. Conventional text-guided facial image … |
Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa; M. Haseyama; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 287 | WAIT: Feature Warping for Animation to Illustration Video Translation Using GANs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore a new domain for video-to-video translation. |
SAMET HICSONMEZ et. al. | arxiv-cs.CV | 2023-10-07 |
| 288 | VTON-IT: Virtual Try-On Using Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we try to produce photo-realistic translated images through semantic segmentation and a generative adversarial architecture-based image translation network. |
Santosh Adhikari; Bishnu Bhusal; Prashant Ghimire; Anil Shrestha; | arxiv-cs.CV | 2023-10-06 |
| 289 | CineTransfer: Controlling A Robot to Imitate Cinematographic Style from A Single Example Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. |
Pablo Pueyo; Eduardo Montijano; Ana C. Murillo; Mac Schwager; | arxiv-cs.RO | 2023-10-05 |
| 290 | FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For example, a malicious user can employ fine-tuning techniques to replicate the style of an artist without consent. In light of this concern, we propose FT-Shield, a watermarking solution tailored for the fine-tuning of text-to-image diffusion models. |
YINGQIAN CUI et. al. | arxiv-cs.CV | 2023-10-03 |
| 291 | Color and Texture Dual Pipeline Lightweight Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve the problem, we propose a Color and Texture Dual Pipeline Lightweight Style Transfer CTDP method, which employs a dual pipeline method to simultaneously output the results of color and texture transfer. |
ShiQi Jiang; | arxiv-cs.CV | 2023-10-02 |
| 292 | Neural Style Transfer for 3D Meshes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer is a popular research topic in the field of computer vision. In 3D stylization, a mesh model is deformed to achieve a specific geometric style. We explore a general … |
Hongyuan Kang; Xiaopan Dong; Juan Cao; Zhonggui Chen; | Graph. Model. | 2023-10-01 |
| 293 | Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Systems meant for tackling hate speech have been increasing in demand with the rapid growth of social media platforms. One way of controlling hate speech in texts is to transform … |
Zishan Ahmad; Vinnakota Sai Sujeeth; Asif Ekbal; | IEEE Transactions on Computational Social Systems | 2023-10-01 |
| 294 | Large-scale Apple Orchard Mapping from Multi-source Data Using The Semantic Segmentation Model with Image- To- Image Translation and Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
TINGTING ZHANG et. al. | Comput. Electron. Agric. | 2023-10-01 |
| 295 | Sketch Assisted Face Image Coding for Human and Machine Vision: A Joint Training Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image coding is one of the most fundamental techniques and is widely used in image/video processing and multimedia communications. Current image coding methods are mainly … |
Xin Fang; Yiping Duan; Qiyuan Du; Xiaoming Tao; Fan Li; | IEEE Transactions on Circuits and Systems for Video … | 2023-10-01 |
| 296 | An Easy Zero-shot Learning Combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We proposed an easy method of Zero-Shot semantic segmentation by using style transfer. |
ZHIYONG YANG et. al. | arxiv-cs.CV | 2023-09-30 |
| 297 | Controlling Neural Style Transfer with Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the first deep Reinforcement Learning (RL) based architecture that splits one-step style transfer into a step-wise process for the NST task. |
CHENGMING FENG et. al. | arxiv-cs.CV | 2023-09-30 |
| 298 | Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to achieve satisfying image and video style transfers, two different models are inevitably required with separate training processes on image and video domains, respectively. In this paper, we show that this can be precluded by introducing UniST, a Unified Style Transfer framework for both images and videos. |
Bohai Gu; Heng Fan; Libo Zhang; | iccv | 2023-09-27 |
| 299 | UMFuse: Unified Multi View Fusion for Human Editing Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the utilization of multiple views to minimize the issue of missing information and generate an accurate representation of the underlying human model. |
RISHABH JAIN et. al. | iccv | 2023-09-27 |
| 300 | Synthetic Latent Fingerprint Generation Using Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple and effective approach using style transfer and image blending to synthesize realistic latent fingerprints. |
Amol S. Joshi; Ali Dabouei; Nasser Nasrabadi; Jeremy Dawson; | arxiv-cs.CV | 2023-09-27 |
| 301 | Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Considering the difficulties in transferring highly structural patterns on the garments and discontinuous poses, existing methods often generate unsatisfactory results such as distorted textures and flickering artifacts. To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer. |
WING-YIN YU et. al. | iccv | 2023-09-27 |
| 302 | StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel motion generator design that uses a learning-based inversion network for GAN. |
Yuhan Wang; Liming Jiang; Chen Change Loy; | iccv | 2023-09-27 |
| 303 | StyleDiffusion: Controllable Disentangled Style Transfer Via Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new C-S disentangled framework for style transfer without using previous assumptions. |
Zhizhong Wang; Lei Zhao; Wei Xing; | iccv | 2023-09-27 |
| 304 | Scenimefy: Learning to Craft Anime Scene Via Semi-Supervised Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite promising attempts, previous efforts are still incompetent in achieving satisfactory results with consistent semantic preservation, evident stylization, and fine details. In this study, we propose Scenimefy, a novel semi-supervised image-to-image translation framework that addresses these challenges. |
Yuxin Jiang; Liming Jiang; Shuai Yang; Chen Change Loy; | iccv | 2023-09-27 |
| 305 | Cross-modal Latent Space Alignment for Image to Avatar Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel method for automatic vectorized avatar generation from a single portrait image. |
MANUEL LADRON DE GUEVARA et. al. | iccv | 2023-09-27 |
| 306 | Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods require computationally expensive fine-tuning of diffusion models or additional neural network. To address this, here we propose a zero-shot contrastive loss for diffusion models that doesn’t require additional fine-tuning or auxiliary networks. |
Serin Yang; Hyunmin Hwang; Jong Chul Ye; | iccv | 2023-09-27 |
| 307 | WaveIPT: Joint Attention and Flow Alignment in The Wavelet Domain for Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To leverage the advantages of both attention and flow simultaneously, we propose Wavelet-aware Image-based Pose Transfer (WaveIPT) to fuse the attention and flow in the wavelet domain. |
Liyuan Ma; Tingwei Gao; Haitian Jiang; Haibin Shen; Kejie Huang; | iccv | 2023-09-27 |
| 308 | Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Carbon nanotubes (CNTs) are promising nano-materials with diverse applications in various fields, ranging from electronics and energy storage to biomedical applications. … |
Prashanth Kotha; Minasadat Attari; Matthew R. Maschmann; F. Bunyak; | 2023 IEEE Applied Imagery Pattern Recognition Workshop … | 2023-09-27 |
| 309 | Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer By Permuting Textures Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Pose Transfer by Permuting Textures, a self-driven human pose transfer approach that disentangles pose from texture at the patch-level. |
Nannan Li; Kevin J Shih; Bryan A. Plummer; | iccv | 2023-09-27 |
| 310 | AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel metric, namely pattern repeatability, that quantifies the repetition of patterns in the style image. |
KIBEOM HONG et. al. | iccv | 2023-09-27 |
| 311 | In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose an approach, In-Style, that learns the style of the text queries and transfers it to uncurated web videos. |
Nina Shvetsova; Anna Kukleva; Bernt Schiele; Hilde Kuehne; | iccv | 2023-09-27 |
| 312 | Locally Stylized Neural Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a stylization framework for NeRF based on local style transfer. |
Hong-Wing Pang; Binh-Son Hua; Sai-Kit Yeung; | iccv | 2023-09-27 |
| 313 | Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach that combines the advantages of transfer and ensemble learning approaches to help reduce training time and resource requirements while proposing a model to classify natural color and computer-colorized images. |
Ahmed Samir Ragab; Shereen Aly Taie; Howida Youssry Abdelnaby; | arxiv-cs.CV | 2023-09-25 |
| 314 | MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we reveal that the common training method of stylization with NeRF, which generates stylized multi-view supervision by 2D style transfer models, causes the same object in supervision to show various states (color tone, details, etc.) in different views, leading NeRF to tend to smooth the texture details, further resulting in low-quality rendering for 3D multi-style transfer. |
Zijiang Yang; Zhongwei Qiu; Chang Xu; Dongmei Fu; | arxiv-cs.CV | 2023-09-24 |
| 315 | MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: On the other hand, diffusion style transfer methods also suffer from the same issue because the regional stylization control over the stylized output is ineffective. To address this problem, We propose a new method Multi-Object Segmented Arbitrary Stylization Using CLIP (MOSAIC), that can apply styles to different objects in the image based on the context extracted from the input prompt. |
PRAJWAL GANUGULA et. al. | arxiv-cs.CV | 2023-09-24 |
| 316 | Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes the use of embeddings from an auxiliary pre-trained face recognition model to encourage the algorithm to propagate human face features from the content image to the final stylized result. |
Thiago Ambiel; | arxiv-cs.CV | 2023-09-23 |
| 317 | Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we show that masking the inputs of a global discriminator for both domains with a content-based mask is sufficient to reduce content inconsistencies significantly. |
Bonifaz Stuhr; Jürgen Brauer; Bernhard Schick; Jordi Gonzàlez; | arxiv-cs.CV | 2023-09-22 |
| 318 | TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose TextCLIP, a unified framework for text-guided image generation and manipulation without adversarial training. |
Xiaozhou You; Jian Zhang; | arxiv-cs.CV | 2023-09-21 |
| 319 | Boosting SAR Aircraft Detection Performance with Multi-Stage Domain Adaptation Training Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has achieved significant success in various synthetic aperture radar (SAR) imagery interpretation tasks. However, automatic aircraft detection is still challenging … |
Wenbo Yu; Jiamu Li; Zijian Wang; Zhongjun Yu; | Remote. Sens. | 2023-09-20 |
| 320 | Retinex-guided Channel-grouping Based Patch Swap for Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since the finite features harvested from one single aesthetic style image are inadequate to represent the rich textures of the content natural image, existing techniques treat the full-channel style feature patches as simple signal tensors and create new style feature patches via signal-level fusion, which ignore the implicit diversities existed in style features and thus fail for generating better stylised results. In this paper, we propose a Retinex theory guided, channel-grouping based patch swap technique to solve the above challenges. |
Chang Liu; Yi Niu; Mingming Ma; Fu Li; Guangming Shi; | arxiv-cs.CV | 2023-09-19 |
| 321 | Instant Photorealistic Style Transfer: A Lightweight and Adaptive Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an Instant Photorealistic Style Transfer (IPST) approach, designed to achieve instant photorealistic style transfer on super-resolution inputs without … |
Rong Liu; Enyu Zhao; Zhiyuan Liu; A. Feng; Scott John Easley; | ArXiv | 2023-09-18 |
| 322 | Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods often encounter challenges such as color tone distortions, dependency on pair-wise pre-training, inefficiency with high-resolution inputs, and the need for additional constraints in video style transfer tasks. To address these issues, we propose a Universal Photorealistic Style Transfer (UPST) framework that delivers accurate photorealistic style transfer on high-resolution images and videos without relying on pre-training. |
Rong Liu; Enyu Zhao; Zhiyuan Liu; Andrew Feng; Scott John Easley; | arxiv-cs.CV | 2023-09-18 |
| 323 | Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The acoustic language model we introduce for style transfer leverages self-supervised in-context learning, acquiring style transfer ability without relying on any speaker-parallel data, thereby overcoming data scarcity. |
YONGQI WANG et. al. | arxiv-cs.SD | 2023-09-14 |
| 324 | Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel nucleus-aware self-supervised pretraining framework for histopathology images. |
ZHIYUN SONG et. al. | arxiv-cs.CV | 2023-09-13 |
| 325 | TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Consequently, the stylization results either fail to capture abundant and diversified local style patterns, or contain undesired semantic information of the style image and deviate from the global style distribution. To address this issue, we imitate the drawing process of humans and propose a Two-Stage Statistics-Aware Transformation (TSSAT) module, which first builds the global style foundation by aligning the global statistics of content and style features and then further enriches local style details by swapping the local statistics (instead of local features) in a patch-wise manner, significantly improving the stylization effects. |
Haibo Chen; Lei Zhao; Jun Li; Jian Yang; | arxiv-cs.CV | 2023-09-12 |
| 326 | PAI-Diffusion: Constructing and Serving A Family of Open Chinese Diffusion Models for Text-to-image Synthesis on The Cloud Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While existing diffusion models have shown promise in generating images from textual descriptions, they often neglect domain-specific contexts and lack robustness in handling the Chinese language. This paper introduces PAI-Diffusion, a comprehensive framework that addresses these limitations. |
CHENGYU WANG et. al. | arxiv-cs.CL | 2023-09-11 |
| 327 | MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a method with a mixture-of-expert (MOE) controllers to align the text-guided capacity of diffusion models with different kinds of human instructions, enabling our model to handle various open-domain image manipulation tasks with natural language instructions. |
Sijia Li; Chen Chen; Haonan Lu; | arxiv-cs.CV | 2023-09-08 |
| 328 | Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To solve the problem, we propose Compositional Neural Painter, a novel stroke-based rendering framework which dynamically predicts the next painting region based on the current canvas, instead of dividing the image plane uniformly into painting regions. |
TENG HU et. al. | arxiv-cs.CV | 2023-09-07 |
| 329 | StyleAdapter: A Unified Stylized Image Generation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose StyleAdapter, a unified stylized image generation model capable of producing a variety of stylized images that match both the content of a given prompt and the style of reference images, without the need for per-style fine-tuning. |
ZHOUXIA WANG et. al. | arxiv-cs.CV | 2023-09-04 |
| 330 | Unsupervised Image-to-image Translation in Multi-parametric MRI of Bladder Cancer Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHIYING CHEN et. al. | Eng. Appl. Artif. Intell. | 2023-09-01 |
| 331 | Impact of Image Context for Single Deep Learning Face Morphing Attack Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates the impact of the alignment settings of input images on deep learning face morphing detection performance. |
Joana Pimenta; Iurii Medvedev; Nuno Gonçalves; | arxiv-cs.CV | 2023-09-01 |
| 332 | Shape-Consistent One-Shot Unsupervised Domain Adaptation for Rail Surface Defect Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep neural networks have greatly improved the performance of rail surface defect segmentation when the test samples have the same distribution as the training samples. However, … |
SHUAI MA et. al. | IEEE Transactions on Industrial Informatics | 2023-09-01 |
| 333 | Semantic Image Synthesis Via Class-Adaptive Cross-Attention Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In response, we designed a novel architecture where cross-attention layers are used in place of SPADE for learning shape-style correlations and so conditioning the image generation process. |
Tomaso Fontanini; Claudio Ferrari; Giuseppe Lisanti; Massimo Bertozzi; Andrea Prati; | arxiv-cs.CV | 2023-08-30 |
| 334 | ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we introduce a novel diffusion-based framework for general-purpose style transfer that can be flexibly adapted to arbitrary target styles at inference time. |
Zachary Horvitz; Ajay Patel; Chris Callison-Burch; Zhou Yu; Kathleen McKeown; | arxiv-cs.CL | 2023-08-29 |
| 335 | WSAM: Visual Explanations from Style Augmentation As Adversarial Attacker and Their Influence in Image Classification Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: With our augmentation strategy, all models not only present incredible robustness against image stylizing but also outperform all previous methods and surpass the state-of-the-art performance for the STL-10 dataset. |
Felipe Moreno-Vera; Edgar Medina; Jorge Poco; | arxiv-cs.CV | 2023-08-28 |
| 336 | MagicEdit: High-Fidelity and Temporally Coherent Video Editing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this report, we present MagicEdit, a surprisingly simple yet effective solution to the text-guided video editing task. |
Jun Hao Liew; Hanshu Yan; Jianfeng Zhang; Zhongcong Xu; Jiashi Feng; | arxiv-cs.CV | 2023-08-28 |
| 337 | ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present ARF-Plus, a 3D neural style transfer framework offering manageable control over perceptual factors, to systematically explore the perceptual controllability in 3D scene stylization. |
Wenzhao Li; Tianhao Wu; Fangcheng Zhong; Cengiz Oztireli; | arxiv-cs.CV | 2023-08-23 |
| 338 | TeSTNeRF: Text-Driven 3D Style Transfer Via Cross-Modal Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Simply combining image/video style transfer methods and novel view synthesis methods results in flickering when changing viewpoints, while existing 3D style transfer methods learn styles from images instead of texts. To address this problem, we for the first time design an efficient text-driven model for 3D style transfer, named TeSTNeRF, to stylize the scene using texts via cross-modal learning: we leverage an advanced text encoder to embed the texts in order to control 3D style transfer and align the input text and output stylized images in latent space. |
JIAFU CHEN et. al. | ijcai | 2023-08-23 |
| 339 | Improving The Transferability of Adversarial Examples with Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Hence, we propose a novel attack method named Style Transfer Method (STM) that utilizes a proposed arbitrary style transfer network to transform the images into different domains. |
ZHIJIN GE et. al. | arxiv-cs.CV | 2023-08-21 |
| 340 | Regularization By Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a regularization by neural style transfer (RNST) method to further leverage the priors from the neural transfer and denoising engine. |
GUOYAO SHEN et. al. | arxiv-cs.CV | 2023-08-21 |
| 341 | Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a Color Prompting (CoP) method for data-free continual unsupervised domain adaptive person Re-ID. |
JIANYANG GU et. al. | arxiv-cs.CV | 2023-08-21 |
| 342 | A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss based offline handwritten signature verification models. |
Zhongliang Guo; Weiye Li; Yifei Qian; Ognjen Arandjelović; Lei Fang; | arxiv-cs.CV | 2023-08-17 |
| 343 | A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss based offline handwritten signature verification models. We propose a … |
Zhongliang Guo; Yifei Qian; Ognjen Arandjelovic; Lei Fang; | ArXiv | 2023-08-17 |
| 344 | Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced By Denoising Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, an image-click CAPTCHA scheme called Diff-CAPTCHA is proposed based on denoising diffusion models. |
Ran Jiang; Sanfeng Zhang; Linfeng Liu; Yanbing Peng; | arxiv-cs.CR | 2023-08-16 |
| 345 | CoDeF: Content Deformation Fields for Temporally Consistent Video Processing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire video and a temporal deformation field recording the transformations from the canonical image (i.e., rendered from the canonical content field) to each individual frame along the time axis. |
HAO OUYANG et. al. | arxiv-cs.CV | 2023-08-15 |
| 346 | A Novel Blind Tamper Detection and Localization Scheme for Multiple Faces in Digital Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face image manipulation detection (FIMD) is a research area of great interest, widely applicable in fields requiring data security and authentication. Existing FIMD schemes aim to … |
Rasha Thabit Mohammed; | IET Image Process. | 2023-08-14 |
| 347 | Hierarchy Flow For High-Fidelity Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose Hierarchy Flow, a novel flow-based model to achieve better content preservation during translation. |
Weichen Fan; Jinghuan Chen; Ziwei Liu; | arxiv-cs.CV | 2023-08-13 |
| 348 | Zero-shot Text-driven Physically Interpretable Face Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel and physically interpretable method for face editing based on arbitrary text prompts. |
YAPENG MENG et. al. | arxiv-cs.CV | 2023-08-11 |
| 349 | BATINet: Background-Aware Text to Image Synthesis and Manipulation Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we analyzed a novel Background-Aware Text2Image (BAT2I) task in which the generated content matches the input background. |
Ryugo Morita; Zhiqiang Zhang; Jinjia Zhou; | arxiv-cs.CV | 2023-08-10 |
| 350 | A Forensic Methodology for Detecting Image Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, image file and mobile forensic artifacts analysis were conducted for detecting image manipulation. |
Jiwon Lee; Seungjae Jeon; Yunji Park; Jaehyun Chung; Doowon Jeong; | arxiv-cs.MM | 2023-08-09 |
| 351 | VAST: Vivify Your Talking Avatar Via Zero-Shot Expressive Facial Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an unsupervised variational style transfer model (VAST) to vivify the neutral photo-realistic avatars. |
LIYANG CHEN et. al. | arxiv-cs.CV | 2023-08-09 |
| 352 | A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes the utilization of image-to-image transformation to synthesize data of different races and thus adjust the ethnicity of children’s face data. |
Wang Yao; Muhammad Ali Farooq; Joseph Lemley; Peter Corcoran; | arxiv-cs.CV | 2023-08-08 |
| 353 | DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose DiffSynth, a novel approach that aims to convert image synthesis pipelines to video synthesis pipelines. |
ZHONGJIE DUAN et. al. | arxiv-cs.CV | 2023-08-07 |
| 354 | Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the emotion manipulation capabilities of diffusion models with in-the-wild images, a rather unexplored application area relative to the vast and rapidly growing literature for image-to-image translation tasks. |
Ioannis Pikoulis; Panagiotis P. Filntisis; Petros Maragos; | arxiv-cs.CV | 2023-08-06 |
| 355 | Diving Deeper Into Volume Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Pando Thrower is a weapon of great importance in Disney’s Strange World. The explosive Pando fuel mixture is expelled with turbulent, fluid-like motion, with branching arcs … |
Mike Navarro; | ACM SIGGRAPH 2023 Talks | 2023-08-06 |
| 356 | Singed Silhouettes and Feed Forward Flames: Volumetric Neural Style Transfer for Expressive Fire Simulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While controlling simulated gaseous volumes remains an ongoing battle when seeking realism in computer graphics, creating appealing characters entirely out of these simulations … |
Paul Kanyuk; V. C. Azevedo; Raphael Ortiz; Jingwei Tang; | ACM SIGGRAPH 2023 Talks | 2023-08-06 |
| 357 | FASTER: A Font-Agnostic Scene Text Editing and Rendering Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite its utility in numerous real-world applications, existing style-transfer-based approaches have shown sub-par editing performance due to (1) complex image backgrounds, (2) diverse font attributes, and (3) varying word lengths within the text. To address such limitations, in this paper, we propose a novel font-agnostic scene text editing and rendering framework, named FASTER, for simultaneously generating text in arbitrary styles and locations while preserving a natural and realistic appearance and structure. |
ALLOY DAS et. al. | arxiv-cs.CV | 2023-08-05 |
| 358 | Superpixel-Based Style Transfer Method for Single-Temporal Remote Sensing Image Identification in Forest Type Groups Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Forests are the most important carbon reservoirs on land, and forest carbon sinks can effectively reduce atmospheric CO2 concentrations and mitigate climate change. In recent … |
Zhenyu Yu; Jinnian Wang; Xiankun Yang; Juan Ma; | Remote. Sens. | 2023-08-04 |
| 359 | MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In fact, each token of a text contains different style intensity and makes different contribution to the overall style. Our proposed method addresses this issue by assigning individual style vector to each token in a text, allowing for fine-grained control and manipulation of the style strength. |
Yazheng Yang; Zhou Zhao; Qi Liu; | kdd | 2023-08-04 |
| 360 | ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework to generate Accurate and Diverse Stylized Captions (ADS-Cap). |
KANZHI CHENG et. al. | arxiv-cs.CV | 2023-08-02 |
| 361 | ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel manipulation methodology, dubbed ImageBrush, that learns visual instructions for more accurate image editing. |
YASHENG SUN et. al. | arxiv-cs.CV | 2023-08-01 |
| 362 | W2GAN: Importance Weight and Wavelet Feature Guided Image-to-Image Translation Under Limited Data Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qiuxia Yang; Yuanyuan Pu; Zhengpeng Zhao; Dan Xu; Siqi Li; | Comput. Graph. | 2023-08-01 |
| 363 | Joint Image-to-Image Translation for Traffic Monitoring Driver Face Image Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The real traffic monitoring driver face (TMDF) images are with complex multiple degradations, which decline face recognition accuracy in real intelligent transportation systems … |
CHANGHUI HU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-08-01 |
| 364 | Controlling Geometric Abstraction and Texture for Artistic Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel method for the interactive control of geometric abstraction and texture in artistic images. |
MARTIN BÜSSEMEYER et. al. | arxiv-cs.CV | 2023-07-31 |
| 365 | InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although effective, ignoring the clear disentanglement of the content features and the style features from the first beginning, they have difficulty in balancing between content preservation and style transferring. To tackle this problem, we propose a novel information disentanglement method, named InfoStyler, to capture the minimal sufficient information for both content and style representations from the pre-trained encoding network. |
Yueming Lyu; Yue Jiang; Bo Peng; Jing Dong; | arxiv-cs.CV | 2023-07-30 |
| 366 | The Generation of Articulatory Animations Based on Keypoint Detection and Motion Transfer Combined with Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Knowing the correct positioning of the tongue and mouth for pronunciation is crucial for learning English pronunciation correctly. Articulatory animation is an effective way to … |
Xufeng Ling; Yu Zhu; W. Liu; Jingxin Liang; Jie Yang; | Comput. | 2023-07-28 |
| 367 | CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for A Disentangled, Interpretable and Controllable Text-Guided Face Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Disentanglement, interpretability, and controllability are also hard to guarantee for manipulation. To alleviate these problems, we propose to define corpus subspaces spanned by relevant prompts to capture specific image characteristics. |
Chenliang Zhou; Fangcheng Zhong; Cengiz Öztireli; | siggraph | 2023-07-26 |
| 368 | On The Fly Neural Style Smoothing for Risk-Averse Domain Generalization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To enable risk-averse predictions from a DG classifier, we propose a novel inference procedure, Test-Time Neural Style Smoothing (TT-NSS), that uses a style-smoothed version of the DG classifier for prediction at test time. |
Akshay Mehra; Yunbei Zhang; Bhavya Kailkhura; Jihun Hamm; | arxiv-cs.CV | 2023-07-17 |
| 369 | SAR-UT: A Synthetic-to-Measured SAR Image Translation Network Based on Transformer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, some studies used computer to generate synthetic aperture radar (SAR) images. Although the synthetic SAR image looks realistic, there is a domain gap and … |
Hengyi Hu; Z. Cui; Zheng Zhou; Z. Cao; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 370 | Dense Multitask Learning to Reconfigure Comics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop a MultiTask Learning (MTL) model to achieve dense predictions for comics panels to, in turn, facilitate the transfer of comics from one publication channel to another by assisting authors in the task of reconfiguring their narratives. |
Deblina Bhattacharjee; Sabine Süsstrunk; Mathieu Salzmann; | arxiv-cs.CV | 2023-07-16 |
| 371 | Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Considering the difficulties in transferring highly structural patterns on the garments and discontinuous poses, existing methods often generate unsatisfactory results such as distorted textures and flickering artifacts. To address these issues, we propose a novel Deformable Motion Modulation (DMM) that utilizes geometric kernel offset with adaptive weight modulation to simultaneously perform feature alignment and style transfer. |
WING-YIN YU et. al. | arxiv-cs.CV | 2023-07-15 |
| 372 | Sem-CS: Semantic CLIPStyler for Text-Based Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the ground semantics of objects in the style transfer output is lost due to style spill-over on salient and background objects (content mismatch) or over-stylization. To solve this, we propose Semantic CLIPStyler (Sem-CS), that performs semantic style transfer. |
Chanda Grover Kamra; Indra Deep Mastan; Debayan Gupta; | arxiv-cs.CV | 2023-07-12 |
| 373 | Substance or Style: What Does Your Image Embedding Know? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Probes are small networks that predict properties of underlying data from embeddings, and they provide a targeted, effective way to illuminate the information contained in … |
CYRUS RASHTCHIAN et. al. | ArXiv | 2023-07-10 |
| 374 | DIFF-NST: Diffusion Interleaving For DeFormable Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the recent introduction of diffusion models, such as Stable Diffusion, we can access far more powerful image generation techniques, enabling new possibilities. In our work, we propose using this new class of models to perform style transfer while enabling deformable style transfer, an elusive capability in previous models. |
DAN RUTA et. al. | arxiv-cs.CV | 2023-07-09 |
| 375 | Text Style Transfer Back-Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For natural inputs, BT brings only slight improvements and sometimes even adverse effects. To address this issue, we propose Text Style Transfer Back Translation (TST BT), which uses a style transfer to modify the source side of BT data. |
DAIMENG WEI et. al. | acl | 2023-07-08 |
| 376 | PEIT: Bridging The Modality Gap with Pre-trained Models for End-to-End Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose PEIT, an end-to-end image translation framework that bridges the modality gap with pre-trained models. |
Shaolin Zhu; Shangjie Li; Yikun Lei; Deyi Xiong; | acl | 2023-07-08 |
| 377 | Rendering and Reconstruction Based 3D Portrait Stylization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Both 2D images and 3D models are vital aspects of portrait applications. Existing style transfer methods principally emphasized 2D images, neglecting the urge for 3D style … |
Shaoxu Li; Ye Pan; | 2023 IEEE International Conference on Multimedia and Expo … | 2023-07-01 |
| 378 | A Compact Transformer for Adaptive Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the limitation of spatial receptive field, it is challenging for CNN-based style transfer methods to capture rich and long-range semantic concepts in artworks. Though the … |
Yi Li; Xinxiong Xie; Haiyan Fu; Xiangyang Luo; Yanqing Guo; | 2023 IEEE International Conference on Multimedia and Expo … | 2023-07-01 |
| 379 | PCFN: Progressive Cross-Modal Fusion Network for Human Pose Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The goal of human pose transfer is to transfer the human in the image from the original pose to the desired one. Existing methods utilizing progressive manner have achieved great … |
Wei Yu; Yanping Li; Rui Wang; W. Cao; Wei Xiang; | IEEE Transactions on Circuits and Systems for Video … | 2023-07-01 |
| 380 | Structure-preserving Image Translation for Multi-source Medical Image Domain Adaptation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Myeongkyun Kang; Philip Chikontwe; D. Won; Miguel Luna; Sang Hyun Park; | Pattern Recognit. | 2023-07-01 |
| 381 | Point Cloud-Based Free Viewpoint Artistic Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, artistic style transfer has gained popularity as a means of creating visually appealing images by injecting style into the content image. Although various methods … |
Eun-Gyeong Bae; Jaekyung Kim; Sanghoon Lee; | 2023 IEEE International Conference on Multimedia and Expo … | 2023-07-01 |
| 382 | StyleStegan: Leak-free Style Transfer Based on Feature Steganography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In modern social networks, existing style transfer methods suffer from a serious content leakage issue, which hampers the ability to achieve serial and reversible stylization, thereby hindering the further propagation of stylized images in social networks. To address this problem, we propose a leak-free style transfer method based on feature steganography. |
Xiujian Liang; Bingshan Liu; Qichao Ying; Zhenxing Qian; Xinpeng Zhang; | arxiv-cs.CV | 2023-07-01 |
| 383 | Ship Detection in Low-Quality SAR Images Via An Unsupervised Domain Adaption Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ship detection in low-quality Synthetic Aperture Radar (SAR) images poses a persistent challenge. Noise signals in complex environments disrupt imaging conditions, hindering SAR … |
Xinyang Pu; He Jia; Yu Xin; Feng Wang; Haipeng Wang; | Remote. Sens. | 2023-06-29 |
| 384 | SinDDM: A Single Image Denoising Diffusion Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we introduce a framework for training a DDM on a single image. |
Vladimir Kulikov; Shahar Yadin; Matan Kleiner; Tomer Michaeli; | icml | 2023-06-27 |
| 385 | CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a more general learning approach by considering two domain features as a whole and learning both inter-domain correspondence and intra-domain potential information interactions. |
TIANXIANG MA et. al. | aaai | 2023-06-26 |
| 386 | User-Controllable Arbitrary Style Transfer Via Entropy Regularization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel solution ensuring both efficiency and diversity for generating multiple user-controllable AST results by systematically modulating AST behavior at run-time. |
JIAXIN CHENG et. al. | aaai | 2023-06-26 |
| 387 | Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since the style generator is represented as an domain-specific distribution of style codes, the translator can provide a one-to-many transformation (i.e., diversified generation) between source domain and target domain. To train our framework, we propose a likelihood-based multi-domain cooperative learning algorithm to jointly train the multi-domain descriptor and the diversified image generator (including translator, style encoder, and style generator modules) via multi-domain MCMC teaching, in which the descriptor guides the diversified image generator to shift its probability density toward the data distribution, while the diversified image generator uses its randomly translated images to initialize the descriptor’s Langevin dynamics process for efficient sampling. |
Weinan Song; Yaxuan Zhu; Lei He; Yingnian Wu; Jianwen Xie; | arxiv-cs.CV | 2023-06-26 |
| 388 | Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These methods not only homogenize the artist-style of different artworks of the same artist but also lack generalization for the unseen artists. To solve these challenges, we propose a double-style transferring module (DSTM). |
JINGYU WU et. al. | aaai | 2023-06-26 |
| 389 | CodeStylist: A System for Performing Code Style Transfer Using Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Code style refers to attributes of computer programs that affect their readability, maintainability, and performance. Enterprises consider code style as important and enforce … |
CHIH-KAI TING et. al. | AAAI Conference on Artificial Intelligence | 2023-06-26 |
| 390 | SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel solution for unpaired image-to-image (I2I) translation. |
Seokbeom Song; Suhyeon Lee; Hongje Seong; Kyoungwon Min; Euntai Kim; | aaai | 2023-06-26 |
| 391 | MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the recent rapid progress, existing AST methods are either incapable or too slow to run at ultra-resolutions (e.g., 4K) with limited resources, which heavily hinders their further applications. In this paper, we tackle this dilemma by learning a straightforward and lightweight model, dubbed MicroAST. |
ZHIZHONG WANG et. al. | aaai | 2023-06-26 |
| 392 | Multimodal Deep Generative Models for Remote Medical Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visible-to-Thermal (VT) face translation is an under-studied problem of image-to-image translation that offers an AI-enabled alternative to traditional thermal sensors. Over three … |
Catherine Ordun; | AAAI Conference on Artificial Intelligence | 2023-06-26 |
| 393 | Practical Disruption of Image Translation Deepfake Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we propose Leaking Transferable Perturbations (LTP), an algorithm that significantly reduces the number of queries needed to disrupt an image translation network by dynamically re-purposing previous disruptions into new query efficient disruptions. |
Nataniel Ruiz; Sarah Adel Bargal; Cihang Xie; Stan Sclaroff; | aaai | 2023-06-26 |
| 394 | Frequency Domain Disentanglement for Arbitrary Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, these methods always suffer from low-quality results because of the sub-optimal disentanglement. To address such a challenge, this paper proposes the frequency mixer (FreMixer) module that disentangles and re-entangles the frequency spectrum of content and style components in the frequency domain. |
DONGYANG LI et. al. | aaai | 2023-06-26 |
| 395 | CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce CLIPVG, a text-guided image manipulation framework using differentiable vector graphics, which is also the first CLIP-based general image manipulation framework that does not require any additional generative models. |
YIREN SONG et. al. | aaai | 2023-06-26 |
| 396 | AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the Adaptive ColorMLP (AdaCM), an effective and efficient framework for universal photo-realistic style transfer. |
TIANWEI LIN et. al. | aaai | 2023-06-26 |
| 397 | PP-GAN : Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Owing to its distinct characteristics from the hair in ID photos, transferring the Gat is challenging. To address this issue, this study proposes a deep learning network that can perform style transfer, including the Gat, while preserving the identity of the face. |
Jongwook Si; Sungyoung Kim; | arxiv-cs.CV | 2023-06-23 |
| 398 | What to Learn: Features, Image Transformations, or Both? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to combine an image transformation network and a feature-learning network to improve long-term localization performance. |
Yuxuan Chen; Binbin Xu; Frederike Dümbgen; Timothy D. Barfoot; | arxiv-cs.RO | 2023-06-22 |
| 399 | LisaCLIP: Locally Incremental Semantics Adaptation Towards Zero-shot Text-driven Image Synthesis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The automatic transfer of a plain photo into a desired synthetic style has attracted numerous users in the application fields of photo editing, visual art, and entertainment. By … |
An Cao; Yilin Zhou; Gang Shen; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 400 | ArtFusion: Controllable Arbitrary Style Transfer Using Dual Conditional Latent Diffusion Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Arbitrary Style Transfer (AST) aims to transform images by adopting the style from any selected artwork. Nonetheless, the need to accommodate diverse and subjective user … |
Da Chen; | ArXiv | 2023-06-15 |
| 401 | Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. |
Makito Kobayashi; Chen-Chieh Liao; Keito Inoue; Sentaro Yojima; Masafumi Takahashi; | arxiv-cs.CV | 2023-06-15 |
| 402 | ArtFusion: Arbitrary Style Transfer Using Dual Conditional Latent Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach, ArtFusion, which provides a flexible balance between content and style. |
Dar-Yen Chen; | arxiv-cs.CV | 2023-06-15 |
| 403 | GBSD: Generative Bokeh with Stage Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present GBSD, the first generative text-to-image model that synthesizes photorealistic images with a bokeh style. |
Jieren Deng; Xin Zhou; Hao Tian; Zhihong Pan; Derek Aguiar; | arxiv-cs.CV | 2023-06-14 |
| 404 | GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel versatile framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), that improves the quality, applicability and controllability of the existing translation models. |
Shuai Yang; Liming Jiang; Ziwei Liu; Chen Change Loy; | arxiv-cs.CV | 2023-06-07 |
| 405 | Improving Diffusion-based Image Translation Using Asymmetric Gradient Guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Yet, these methods often require computationally intense fine-tuning of diffusion models or additional neural networks. To address these challenges, here we present an approach that guides the reverse process of diffusion sampling by applying asymmetric gradient guidance. |
Gihyun Kwon; Jong Chul Ye; | arxiv-cs.CV | 2023-06-07 |
| 406 | Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new TTS system that can perform style transfer with interpretability and high fidelity. |
WENHAO GUAN et. al. | arxiv-cs.SD | 2023-06-07 |
| 407 | Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method for synthesizing edited photo-realistic digital avatars with text instructions. |
Shaoxu Li; | arxiv-cs.CV | 2023-06-05 |
| 408 | Identifying The Style By A Qualified Reader on A Short Fragment of Generated Poetry Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: I used 3 character-based LSTM-models to work with style reproducing assessment. |
Boris Orekhov; | arxiv-cs.CL | 2023-06-05 |
| 409 | Diffusion-Enhanced PatchMatch: A Framework for Arbitrary Style Transfer with Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Diffusion models have gained immense popularity in recent years due to their impressive ability to generate high-quality images. The opportunities that diffusion models provide … |
Mark Hamazaspyan; Shant Navasardyan; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 410 | DeSRF: Deformable Stylized Radiance Field Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When stylizing 3D scenes, current methods need to render the full-resolution images from different views and use the style loss, which is proposed for 2D style transfer and needs … |
Shiyao Xu; Lingzhi Li; Li Shen; Z. Lian; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 411 | Gatha: Relational Loss for Enhancing Text-based Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text-based style transfer is a promising area of research that enables the generation of stylistic images from plain text descriptions. However, the existing text-based style … |
Surgan Jandial; Shripad Deshmukh; Abhinav Java; Simra Shahid; Balaji Krishnamurthy; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 412 | Name Your Style: Text-guided Artistic Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style transfer has attracted widespread attention in the past years. Despite its remarkable results, it requires additional style images available as references, making it … |
Zhi-Song Liu; Li-Wen Wang; W. Siu; Vicky Kalogeiton; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 413 | Image Reference-guided Fashion Design with Structure-aware Transfer By Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference … |
Shidong Cao; Wenhao Chai; Shengyu Hao; Gaoang Wang; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 414 | Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, laser ultrasonic visualization testing (LUVT) has attracted much attention because of its ability to efficiently perform non-contact ultrasonic non-destructive … |
Miya Nakajima; T. Saitoh; Tsuyoshi Kato; | ArXiv | 2023-05-30 |
| 415 | SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text-to-Image (T2I) diffusion models have achieved remarkable success in synthesizing high-quality images conditioned on text prompts. Recent methods have tried to replicate the … |
Nazmul Karim; Umar Khalid; M. Joneidi; Chen Chen; N. Rahnavard; | ArXiv | 2023-05-30 |
| 416 | Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the issue, we propose a novel two-stage video translation framework with an objective function which enforces a model to generate a temporally coherent stylized video while preserving context in the source video. |
DOYEON KIM et. al. | arxiv-cs.CV | 2023-05-30 |
| 417 | Improving Open Set Domain Adaptation Using Image-to-Image Translation and Instance-Weighted Adversarial Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hongjie Zhang; Ang Li; Jie Guo; Yanwen Guo; | Journal of Computer Science and Technology | 2023-05-30 |
| 418 | SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although the latter is computationally less expensive, it still takes a significant amount of time for per-video adaption. To address this issue, we propose SAVE, a novel spectral-shift-aware adaptation framework, in which we fine-tune the spectral shift of the parameter space instead of the parameters themselves. |
Nazmul Karim; Umar Khalid; Mohsen Joneidi; Chen Chen; Nazanin Rahnavard; | arxiv-cs.CV | 2023-05-29 |
| 419 | Conditional Score Guidance for Text-Driven Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel algorithm for text-driven image-to-image translation based on a pretrained text-to-image diffusion model. |
Hyunsoo Lee; Minsoo Kang; Bohyung Han; | arxiv-cs.CV | 2023-05-29 |
| 420 | StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the … |
KUN SONG et. al. | arxiv-cs.SD | 2023-05-28 |
| 421 | Image Style Transfer Based on Cyclegan Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks (GAN) have powerful adversarial learning capabilities and are currently being used by more and more researchers. The style transfer of images is an … |
Lisha Yao; Qiaoqiao Feng; | 2023 IEEE 3rd International Conference on Electronic … | 2023-05-26 |
| 422 | CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). |
MING GAO et. al. | arxiv-cs.CV | 2023-05-25 |
| 423 | SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Traditional image-level similarity metrics are of limited use, since the semantics of an image are high-level, and not strongly governed by pixel-wise faithfulness to an original image. Towards filling this gap, we introduce SAMScore, a generic semantic structural similarity metric for evaluating the faithfulness of image translation models. |
YUNXIANG LI et. al. | arxiv-cs.CV | 2023-05-24 |
| 424 | Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through quantitative analysis, we explore the impact of multiple style distributions in training data on style-transferred output. |
Debarati Das; David Ma; Dongyeop Kang; | arxiv-cs.CL | 2023-05-24 |
| 425 | Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it remains challenging for existing methods to address advanced conditional generative problems without annotations, which can enable multiple applications like image-to-image translation and image editing. We present a unified Bayesian framework for such problems, which introduces an inference stage on latent variables within the learning process. |
Yuxiao Li; Santiago Mazuelas; Yuan Shen; | arxiv-cs.CV | 2023-05-23 |
| 426 | InstructVid2Vid: Controllable Video Editing with Natural Language Instructions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce InstructVid2Vid, an end-to-end diffusion-based methodology for video editing guided by human language instructions. |
Bosheng Qin; Juncheng Li; Siliang Tang; Tat-Seng Chua; Yueting Zhuang; | arxiv-cs.CV | 2023-05-20 |
| 427 | Brain Captioning: Decoding Human Brain Activity Into Images and Text IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recent breakthroughs in functional magnetic resonance imaging (fMRI) have enabled scientists to extract visual information from human brain activity patterns. In this study, we present an innovative method for decoding brain activity into meaningful images and captions, with a specific focus on brain captioning due to its enhanced flexibility as compared to brain decoding into images. |
Matteo Ferrante; Furkan Ozcelik; Tommaso Boccato; Rufin VanRullen; Nicola Toschi; | arxiv-cs.CV | 2023-05-19 |
| 428 | Drag Your GAN: Interactive Point-based Manipulation on The Generative Image Manifold IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study a powerful yet much less explored way of controlling GANs, that is, to drag any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. |
XINGANG PAN et. al. | arxiv-cs.CV | 2023-05-18 |
| 429 | Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a domain adaptive Sim-to-Real framework called IoU-Ranking Blend-ArtFlow (IRB-AF) for image segmentation of oropharyngeal organs. |
Guankun Wang; Tian-Ao Ren; Jiewen Lai; Long Bai; Hongliang Ren; | arxiv-cs.AI | 2023-05-18 |
| 430 | Imagic: Text-Based Real Image Editing With Diffusion Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we demonstrate, for the very first time, the ability to apply complex (e.g., non-rigid) text-based semantic edits to a single real image. |
BAHJAT KAWAR et. al. | cvpr | 2023-05-17 |
| 431 | Modernizing Old Photos Using Multiple References Via Photorealistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to modernize old photos, we propose a novel multi-reference-based old photo modernization (MROPM) framework consisting of a network MROPM-Net and a novel synthetic data generation scheme. |
Agus Gunawan; Soo Ye Kim; Hyeonjun Sim; Jae-Ho Lee; Munchurl Kim; | cvpr | 2023-05-17 |
| 432 | Masked and Adaptive Transformer for Exemplar Based Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel framework for exemplar based image translation. |
CHANG JIANG et. al. | cvpr | 2023-05-17 |
| 433 | Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a new framework that takes text-to-image synthesis to the realm of image-to-image translation — given a guidance image and a target text prompt as input, our method harnesses the power of a pre-trained text-to-image diffusion model to generate a new image that complies with the target text, while preserving the semantic layout of the guidance image. |
Narek Tumanyan; Michal Geyer; Shai Bagon; Tali Dekel; | cvpr | 2023-05-17 |
| 434 | Tunable Convolutions With Parametric Multi-Loss Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to optimize a parametric tunable convolutional layer, which includes a number of different kernels, using a parametric multi-loss, which includes an equal number of objectives. |
Matteo Maggioni; Thomas Tanay; Francesca Babiloni; Steven McDonagh; Aleš Leonardis; | cvpr | 2023-05-17 |
| 435 | Inversion-Based Style Transfer With Diffusion Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we perceive style as a learnable textual description of a painting.We propose an inversion-based style transfer method (InST), which can efficiently and accurately learn the key information of an image, thus capturing and transferring the artistic style of a painting. |
YUXIN ZHANG et. al. | cvpr | 2023-05-17 |
| 436 | Neural Preset for Color Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed. |
Zhanghan Ke; Yuhao Liu; Lei Zhu; Nanxuan Zhao; Rynson W.H. Lau; | cvpr | 2023-05-17 |
| 437 | Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Simply coupling NeRF with photorealistic style transfer (PST) will result in cross-view inconsistency and degradation of stylized view syntheses. Through a thorough analysis, we demonstrate that this non-trivial task can be simplified in a new light: When transforming the appearance representation of a pre-trained NeRF with Lipschitz mapping, the consistency and photorealism across source views will be seamlessly encoded into the syntheses. |
ZICHENG ZHANG et. al. | cvpr | 2023-05-17 |
| 438 | StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose StyleRF (Style Radiance Fields), an innovative 3D style transfer technique that resolves the three-way dilemma by performing style transformation within the feature space of a radiance field. |
KUNHAO LIU et. al. | cvpr | 2023-05-17 |
| 439 | Learning Dynamic Style Kernels for Artistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To further enhance the flexibility of our style transfer method, we propose a Style Alignment Encoding (SAE) module complemented with a Content-based Gating Modulation (CGM) module for learning the dynamic style kernels in focusing regions. |
Wenju Xu; Chengjiang Long; Yongwei Nie; | cvpr | 2023-05-17 |
| 440 | Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we devise a novel Transformer model termed as Master specifically for style transfer. |
HAO TANG et. al. | cvpr | 2023-05-17 |
| 441 | EDICT: Exact Diffusion Inversion Via Coupled Transformations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, DDIM inversion for real images is unstable as it relies on local linearization assumptions, which result in the propagation of errors, leading to incorrect image reconstruction and loss of content. To alleviate these problems, we propose Exact Diffusion Inversion via Coupled Transformations (EDICT), an inversion method that draws inspiration from affine coupling layers. |
Bram Wallace; Akash Gokul; Nikhil Naik; | cvpr | 2023-05-17 |
| 442 | CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a new framework named CAP-VSTNet, which consists of a new reversible residual network and an unbiased linear transform module, for versatile style transfer. |
Linfeng Wen; Chengying Gao; Changqing Zou; | cvpr | 2023-05-17 |
| 443 | Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current 3D scene stylization methods transfer textures and colors as styles using arbitrary style references, lacking meaningful semantic correspondences. We introduce Reference-Based Non-Photorealistic Radiance Fields (Ref-NPR) to address this limitation. |
Yuechen Zhang; Zexin He; Jinbo Xing; Xufeng Yao; Jiaya Jia; | cvpr | 2023-05-17 |
| 444 | BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a novel image-to-image translation method based on the Brownian Bridge Diffusion Model(BBDM) is proposed, which models image-to-image translation as a stochastic Brownian Bridge process, and learns the translation between two domains directly through the bidirectional diffusion process rather than a conditional generation process. |
Bo Li; Kaitao Xue; Bin Liu; Yu-Kun Lai; | cvpr | 2023-05-17 |
| 445 | Style Transfer Enabled Sim2Real Framework for Efficient Learning of Robotic Ultrasound Image Analysis Using Simulated Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a Sim2Real framework to efficiently learn robotic US image analysis tasks based only on simulated data for real-world deployment. |
KEYU LI et. al. | arxiv-cs.RO | 2023-05-16 |
| 446 | Wavelet-based Unsupervised Label-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: State-of-the-art conditional Generative Adversarial Networks (GANs) need a huge amount of paired data to accomplish this task while generic unpaired image-to-image translation frameworks underperform in comparison, because they color-code semantic layouts and learn correspondences in appearance instead of semantic content. Starting from the assumption that a high quality generated image should be segmented back to its semantic layout, we propose a new Unsupervised paradigm for SIS (USIS) that makes use of a self-supervised segmentation loss and whole image wavelet based discrimination. |
George Eskandar; Mohamed Abdelsamad; Karim Armanious; Shuai Zhang; Bin Yang; | arxiv-cs.CV | 2023-05-16 |
| 447 | Realization RGBD Image Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel method that incorporates the depth map and a heatmap of the RGB image to generate more realistic style transfer results. |
Bhavya Sehgal; Vaishnavi Mendu; Aparna Mendu; | arxiv-cs.CV | 2023-05-11 |
| 448 | Analysis of Adversarial Image Manipulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates how simple, accessible image manipulation techniques affect the accuracy of facial recognition software in identifying an individual’s various face images based on one unique image. |
Ahsi Lo; Gabriella Pangelinan; Michael C. King; | arxiv-cs.CV | 2023-05-10 |
| 449 | Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a zero-shot video stylization method named Style-A-Video, which utilizes a generative pre-trained transformer with an image latent diffusion model to achieve a concise text-controlled video stylization. |
Nisha Huang; Yuxin Zhang; Weiming Dong; | arxiv-cs.CV | 2023-05-09 |
| 450 | Joint Multiscale Cross-Lingual Speaking Style Transfer With Bidirectional Attention Mechanism for Automatic Dubbing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic dubbing, which generates a corresponding version of the input speech in another language, can be widely utilized in many real-world scenarios, such as video and game … |
JINGBEI LI et. al. | IEEE/ACM Transactions on Audio, Speech, and Language … | 2023-05-09 |
| 451 | Multi-Teacher Knowledge Distillation For Text Image Machine Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel Multi-Teacher Knowledge Distillation (MTKD) method to effectively distillate knowledge into the end-to-end TIMT model from the pipeline model. |
CONG MA et. al. | arxiv-cs.CL | 2023-05-09 |
| 452 | Joint Multi-scale Cross-lingual Speaking Style Transfer with Bidirectional Attention Mechanism for Automatic Dubbing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a joint multi-scale cross-lingual speaking style transfer framework to simultaneously model the bidirectional speaking style transfer between languages at both global (i.e. utterance level) and local (i.e. word level) scales. |
JINGBEI LI et. al. | arxiv-cs.SD | 2023-05-09 |
| 453 | Image Neural Style Transfer: A Review IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qiang Cai; Mengxu Ma; Chen Wang; Haisheng Li; | Comput. Electr. Eng. | 2023-05-01 |
| 454 | HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We investigate GAN inversion problems of using pre-trained GANs to reconstruct real images. Recent methods for such problems typically employ a VGG perceptual loss to measure the … |
Peng Zhou; Lingxi Xie; Bingbing Ni; Lin Liu; Qi Tian; | IEEE Transactions on Circuits and Systems for Video … | 2023-05-01 |
| 455 | Physical Model and Image Translation Fused Network for Single-image Dehazing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yanzhao Su; Chuan He; Zhigao Cui; A. Li; Nian Wang; | Pattern Recognit. | 2023-05-01 |
| 456 | Image-to-Image Translation for Data Augmentation on Multimodal Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yue Peng; Zuqiang Meng; Lina Yang; | IEICE Trans. Inf. Syst. | 2023-05-01 |
| 457 | Duetcs: Code Style Transfer Through Generation and Retrieval Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Coding style has direct impact on code comprehension. Automatically transferring code style to user’s preference or consistency can facilitate project cooperation and maintenance, … |
Binger Chen; Ziawasch Abedjan; | 2023 IEEE/ACM 45th International Conference on Software … | 2023-05-01 |
| 458 | Transplayer: Timbre Style Transfer with Flexible Timbre Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the practice in voice conversion, we propose TransPlayer, which uses an autoencoder model with one-hot representations of instruments as the condition, and a Diffwave model trained especially for music synthesis. |
Y. Wu; Y. He; X. Liu; Y. Wang; R. B. Dannenberg; | icassp | 2023-04-27 |
| 459 | MSNet: A Deep Architecture Using Multi-Sentiment Semantics for Sentiment-Aware Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To incorporate the sentiment information into the image style transfer task for better sentiment-aware performance, we introduce a new task named sentiment-aware image style transfer. |
S. Sun; J. Jia; H. Wu; Z. Ye; J. Xing; | icassp | 2023-04-27 |
| 460 | CPD-GAN: Cascaded Pyramid Deformation GAN for Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing work often failed to transfer complex textures to generated images well. To solve this problem, we propose a novel network for this task. |
Y. Huang; Y. Tang; X. Zheng; J. Tang; | icassp | 2023-04-27 |
| 461 | OSAGGAN: One-shot Unsupervised Image-to-image Translation Using Attention-guided Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaofei Huo; Bin Jiang; Haotian Hu; Xinjiao Zhou; Bolin Zhang; | International Journal of Machine Learning and Cybernetics | 2023-04-27 |
| 462 | Multidimensional Evaluation for Text Style Transfer Using ChatGPT IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We perform a comprehensive correlation analysis for two transfer directions (and overall) at different levels. |
Huiyuan Lai; Antonio Toral; Malvina Nissim; | arxiv-cs.CL | 2023-04-26 |
| 463 | Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To mitigate those limitations, we propose Hierarchical Diffusion Autoencoders (HDAE) that exploit the fine-grained-to-abstract and lowlevel-to-high-level feature hierarchy for the latent space of diffusion models. |
ZEYU LU et. al. | arxiv-cs.CV | 2023-04-24 |
| 464 | Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a general adversarial learning framework for solving Unsupervised 2D to Explicit 3D Style Transfer (UE3DST). |
Heng Yu; Zoltan A. Milacski; Laszlo A. Jeni; | arxiv-cs.CV | 2023-04-24 |
| 465 | InvolutionGAN: Lightweight GAN with Involution for Unsupervised Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haipeng Deng; Qiuxia Wu; Han Huang; Xiaowei Yang; Zhiyong Wang; | Neural Computing and Applications | 2023-04-24 |
| 466 | Aesthetic Style Transferring Method Based on Deep Neural Network Between Chinese Landscape Painting and Classical Private Garden’s Virtual Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance … |
SHUAI HONG et. al. | International Journal of Digital Earth | 2023-04-23 |
| 467 | Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new unpaired I2I translation framework based on dual contrastive regularization and spectral normalization, namely SN-DCR. |
Chen Zhao; Wei-Ling Cai; Zheng Yuan; | arxiv-cs.CV | 2023-04-22 |
| 468 | Arbitrary Style Transfer with Multiple Self-Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer aims to transfer the style information of a given style image to the other images, but most existing methods cannot transfer the texture details in style images … |
Yuzhu Song; Li Liu; Huaxiang Zhang; Dongmei Liu; Hongzhen Li; | Proceedings of the 2023 8th International Conference on … | 2023-04-21 |
| 469 | A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel plug-and-play invisible copyright protection method based on defensive perturbation for DNN-based applications (i.e., style transfer). |
DONGHUA WANG et. al. | arxiv-cs.CV | 2023-04-20 |
| 470 | Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In either case, only one result can be generated for a specific pair of content and style images, which therefore lacks flexibility and is hard to satisfy different users with different preferences. We propose here a novel strategy termed Any-to-Any Style Transfer to address this drawback, which enables users to interactively select styles of regions in the style image and apply them to the prescribed content regions. |
Songhua Liu; Jingwen Ye; Xinchao Wang; | arxiv-cs.CV | 2023-04-19 |
| 471 | UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The appearance inconsistency makes T2I unsuitable for pose transfer. We address this by proposing a multimodal diffusion model that accepts text, pose, and visual prompting. |
Soon Yau Cheong; Armin Mustafa; Andrew Gilbert; | arxiv-cs.CV | 2023-04-18 |
| 472 | ALADIN-NST: Self-supervised Disentangled Representation Learning of Artistic Style Through Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our paper aims to learn a representation of visual artistic style more strongly disentangled from the semantic content depicted in an image. |
Dan Ruta; Gemma Canet Tarres; Alexander Black; Andrew Gilbert; John Collomosse; | arxiv-cs.CV | 2023-04-12 |
| 473 | Improving Diffusion Models for Scene Text Editing with Dual Encoders IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, our empirical analysis reveals that state-of-the-art diffusion models struggle with rendering correct text and controlling text style. To address these problems, we propose DIFFSTE to improve pre-trained diffusion models with a dual encoder design, which includes a character encoder for better text legibility and an instruction encoder for better style control. |
JIABAO JI et. al. | arxiv-cs.CV | 2023-04-11 |
| 474 | Panoramic Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the challenging task of Panoramic Image-to-Image translation (Pano-I2I) for the first time. |
SOOHYUN KIM et. al. | arxiv-cs.CV | 2023-04-11 |
| 475 | NeAT: Neural Artistic Tracing for Beautiful Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present NeAT, a new state-of-the art feed-forward style transfer method. |
Dan Ruta; Andrew Gilbert; John Collomosse; Eli Shechtman; Nicholas Kolkin; | arxiv-cs.CV | 2023-04-11 |
| 476 | DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability. However, … |
ZIHAN CAO et. al. | ArXiv | 2023-04-10 |
| 477 | ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an Image-Text multi-modal framework, namely Image and Text portrait (ITportrait), for 3D portrait domain adaptation. |
XIANGWEN DENG et. al. | arxiv-cs.MM | 2023-04-09 |
| 478 | SAM-GAN: Supervised Learning-Based Aerial Image-to-Map Translation Via Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate translation of aerial imagery to maps is a direction of great value and challenge in mapping, a method of generating maps that does not require using vector data as … |
Jian Xu; Xiaowen Zhou; Chaolin Han; Bing Dong; Hongwei Li; | ISPRS Int. J. Geo Inf. | 2023-04-07 |
| 479 | Unpaired Image-to-image Translation of Structural Damage IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Subin Varghese; Vedhus Hoskere; | Adv. Eng. Informatics | 2023-04-01 |
| 480 | A CNN Inference Accelerator on FPGA With Compression and Layer-Chaining Techniques for Style Transfer Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, convolutional neural networks (CNNs) have actively been applied to computer vision applications such as style transfer that changes the style of a content image into … |
SUCHANG KIM et. al. | IEEE Transactions on Circuits and Systems I: Regular Papers | 2023-04-01 |
| 481 | Fake Colorized Image Detection Based on Special Image Representation and Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, images have become one of the most popular forms of communication as image editing tools have evolved. Image manipulation, particularly image colorization, has become … |
Khalid A. Salman; Khalid Shaker; Sufyan T. Faraj Al-Janabi; | Int. J. Comput. Intell. Appl. | 2023-04-01 |
| 482 | Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks with style-based generators could successfully synthesize realistic images from input latent code. Moreover, recent studies have revealed that … |
Yunfan Liu; Qi Li; Qiyao Deng; Zhenan Sun; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
| 483 | One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Departing from the common notion of transferring only the target “texture” information, we leverage text-to-image diffusion models (e.g., Stable Diffusion) to generate a synthetic target dataset with photo-realistic images that not only faithfully depict the style of the target domain, but are also characterized by novel scenes in diverse contexts. |
Yasser Benigmim; Subhankar Roy; Slim Essid; Vicky Kalogeiton; Stéphane Lathuilière; | arxiv-cs.CV | 2023-03-31 |
| 484 | Semantic Image Translation for Repairing The Texture Defects of Building Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to preserve fine details and regular structures, we propose a regularity-aware multi-domain method that capitalizes on frequency information and corner maps. |
QISEN SHANG et. al. | arxiv-cs.CV | 2023-03-30 |
| 485 | Instant Photorealistic Neural Radiance Fields Stylization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Instant Neural Radiance Fields Stylization, a novel approach for multi-view image stylization for the 3D scene. |
Shaoxu Li; Ye Pan; | arxiv-cs.CV | 2023-03-29 |
| 486 | Depth-Aware Neural Style Transfer for Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Temporal consistency and content preservation are the prominent challenges in artistic video style transfer. To address these challenges, we present a technique that utilizes … |
E. Ioannou; S. Maddock; | Comput. | 2023-03-27 |
| 487 | Linear-ResNet GAN-based Anime Style Transfer of Face Images Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mingxi Chen; Hansen Dai; Shijie Wei; Zhenzhen Hu; | Signal, Image and Video Processing | 2023-03-23 |
| 488 | Neural Preset for Color Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed. |
Zhanghan Ke; Yuhao Liu; Lei Zhu; Nanxuan Zhao; Rynson W. H. Lau; | arxiv-cs.CV | 2023-03-23 |
| 489 | Open-World Pose Transfer Via Sequential Test-Time Adaption Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A typical pose transfer framework usually employs representative datasets to train a discriminative model, which is often violated by out-of-distribution (OOD) instances. |
JUNYANG CHEN et. al. | arxiv-cs.CV | 2023-03-20 |
| 490 | StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose StyleRF (Style Radiance Fields), an innovative 3D style transfer technique that resolves the three-way dilemma by performing style transformation within the feature space of a radiance field. |
KUNHAO LIU et. al. | arxiv-cs.CV | 2023-03-19 |
| 491 | Style Transfer for 2D Talking Head Animation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a new method to generate talking head animation with learnable style references. |
TRONG-THANG PHAM et. al. | arxiv-cs.CV | 2023-03-17 |
| 492 | DialogPaint: A Dialog-based Image Editing Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce DialogPaint, a novel framework that bridges conversational interactions with image editing, enabling users to modify images through natural dialogue. |
Jingxuan Wei; Shiyu Wu; Xin Jiang; Yequan Wang; | arxiv-cs.CV | 2023-03-17 |
| 493 | NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing methods obtain stylized video sequences by performing frame-by-frame photorealistic style transfer, which is inefficient and does not ensure the temporal consistency of the stylized video. To address this issue, we use neural network-based 3D Lookup Tables (LUTs) for the photorealistic transfer of videos, achieving a balance between efficiency and effectiveness. |
YAOSEN CHEN et. al. | arxiv-cs.CV | 2023-03-16 |
| 494 | SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from A Spectral Perspective Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SpectralCLIP, which implements a spectral filtering layer on top of the CLIP vision encoder, to alleviate the artifact issue. |
Zipeng Xu; Songlong Xing; Enver Sangineto; Nicu Sebe; | arxiv-cs.CV | 2023-03-16 |
| 495 | StylerDALLE: Language-Guided Style Transfer Using A Vector-Quantized Tokenizer of A Large-Scale Generative Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, these abstract semantics can be captured by models like DALL-E or CLIP, which have been trained using huge datasets of images and textual documents. In this paper, we propose StylerDALLE, a style transfer method that exploits both of these models and uses natural language to describe abstract art styles. |
Zipeng Xu; Enver Sangineto; Nicu Sebe; | arxiv-cs.CV | 2023-03-16 |
| 496 | Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce and implement a model which combines image-to-image and class-guided denoising diffusion probabilistic models. |
JAN OSCAR CROSS-ZAMIRSKI et. al. | arxiv-cs.CV | 2023-03-15 |
| 497 | 3D Face Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, previous methods mainly use images of artistic faces for style transfer while ignoring arbitrary style images such as abstract paintings. To solve this problem, we propose a novel method, namely Face-guided Dual Style Transfer (FDST). |
XIANGWEN DENG et. al. | arxiv-cs.CV | 2023-03-14 |
| 498 | PADAAV: Enhancing Perception Systems Using GAN-generated Adversarial Augmented Domains for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the field of autonomous vehicles (AV), it is crucial for the perceptual systems of the AVs to learn inter-domain adaptations in the absence of paired examples for detecting … |
Oshin Rawlley; Shashank Gupta; | 2023 IEEE International Conference on Pervasive Computing … | 2023-03-13 |
| 499 | SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the ground semantics of objects in style transfer output is lost due to style spillover on salient and background objects (content mismatch) or over-stylization. To solve this, we propose Semantic CLIPStyler (Sem-CS) that performs semantic style transfer. |
Chanda G Kamra; Indra Deep Mastan; Debayan Gupta; | arxiv-cs.CV | 2023-03-11 |
| 500 | AptSim2Real: Approximately-Paired Sim-to-Real Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unpaired image translation, while more suitable for sim-to-real transfer, is still challenging to learn for complex natural scenes. To address these challenges, we propose a third category: approximately-paired sim-to-real translation, where the source and target images do not need to be exactly paired. |
Charles Y Zhang; Ashish Shrivastava; | arxiv-cs.CV | 2023-03-09 |
| 501 | Classification of Crop Leaf Diseases Using Image to Image Translation with Deep-dream Related Papers Related Patents Related Grants Related Venues Related Experts View |
Priyanka Sahu; A. Chug; Ashutosh Kumar Singh; Dinesh Singh; | Multimedia Tools and Applications | 2023-03-08 |
| 502 | A Unified Arbitrary Style Transfer Framework Via Adaptive Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Unified Contrastive Arbitrary Style Transfer (UCAST), a novel style representation learning and transfer framework, which can fit in most existing arbitrary image style transfer models, e.g., CNN-based, ViT-based, and flow-based methods. |
YUXIN ZHANG et. al. | arxiv-cs.CV | 2023-03-08 |
| 503 | End-to-end Face-swapping Via Adaptive Latent Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel and end-to-end integrated framework for high resolution and attribute preservation face swapping via Adaptive Latent Representation Learning. |
Chenhao Lin; Pengbin Hu; Chao Shen; Qian Li; | arxiv-cs.CV | 2023-03-07 |
| 504 | Neural Style Transfer for Vector Graphics Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Neural style transfer draws researchers’ attention, but the interest focuses on bitmap images. Various models have been developed for bitmap image generation both online and … |
V. Efimova; Artyom Chebykin; Ivan Jarsky; Evgenii Prosvirnin; A. Filchenkov; | ArXiv | 2023-03-06 |
| 505 | Guided Image-to-Image Translation By Discriminator-Generator Communication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This formulation illustrates the information insufficiency in the GAN training. To mitigate this problem, we propose to add a communication channel between discriminators and generators. |
Yuanjiang Cao; Lina Yao; Le Pan; Quan Z. Sheng; Xiaojun Chang; | arxiv-cs.CV | 2023-03-06 |
| 506 | Image-to-image Translation Using An Offset-based Multi-scale Codes GAN Encoder Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zihao Guo; Mingwen Shao; Shunhang Li; | The Visual Computer | 2023-03-04 |
| 507 | Stylized Image Denoising Via Noise Style Transfer and Quasi Siamese Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jikang Cheng; Zhen Han; Zhongyuan Wang; | Signal Process. Image Commun. | 2023-03-01 |
| 508 | Enhanced Controllability of Diffusion Models Via Feature Disentanglement and Realism-Enhanced Sampling Methods Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a training framework for feature disentanglement of Diffusion Models (FDiff). |
WONWOONG CHO et. al. | arxiv-cs.CV | 2023-02-28 |
| 509 | Cross-modal Face- and Voice-style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a cross-modal style transfer framework called XFaVoT that jointly learns four tasks: image translation and voice conversion tasks with audio or image guidance, which enables the generation of “face that matches given voice and “voice that matches given face, and intra-modality translation tasks with a single framework. |
Naoya Takahashi; Mayank K. Singh; Yuki Mitsufuji; | arxiv-cs.CV | 2023-02-27 |
| 510 | Multi-Modal Multi-Stage Underwater Side-Scan Sonar Target Recognition Based on Synthetic Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the small sample size of underwater acoustic data and the strong noise interference caused by seabed reverberation, recognizing underwater targets in Side-Scan Sonar (SSS) … |
Jian Wang; Haisen S. Li; Guanying Huo; Chao Li; Yuhang Wei; | Remote. Sens. | 2023-02-26 |
| 511 | ACE: Zero-Shot Image to Image Translation Via Pretrained Auto-Contrastive-Encoder Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, learning such mapping between domains is challenging because data from different domains can be highly unbalanced in terms of both quality and quantity. To address this problem, we propose a new approach to extract image features by learning the similarities and differences of samples within the same data distribution via a novel contrastive learning framework, which we call Auto-Contrastive-Encoder (ACE). |
Sihan Xu; Zelong Jiang; Ruisi Liu; Kaikai Yang; Zhijie Huang; | arxiv-cs.CV | 2023-02-22 |
| 512 | Paint It Black: Generating Paintings from Text Descriptions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the intersection of these two, i.e., generating paintings from a given caption, is a relatively unexplored area with little data available. In this paper, we have explored two distinct strategies and have integrated them together. |
Mahnoor Shahid; Mark Koch; Niklas Schneider; | arxiv-cs.CV | 2023-02-17 |
| 513 | Conversation Style Transfer Using Few-Shot Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel in-context learning approach to solve the task with style-free dialogues as a pivot. |
SHAMIK ROY et. al. | arxiv-cs.CL | 2023-02-16 |
| 514 | DiffFashion: Reference-based Fashion Design with Structure-aware Transfer By Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although diffusion-based image translation or neural style transfer (NST) has enabled flexible style transfer, it is often difficult to maintain the original structure of the image realistically during the reverse diffusion, especially when the referenced appearance image greatly differs from the common clothing appearance. To tackle this issue, we present a novel diffusion model-based unsupervised structure-aware transfer method to semantically generate new clothes from a given clothing image and a reference appearance image. |
SHIDONG CAO et. al. | arxiv-cs.CV | 2023-02-13 |
| 515 | Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Common methods use the image as the detected object, but they only consider the visual features and overlook the attribute information contained in the textual descriptions, and perform weakly for products in image less important industries like machinery, hardware tools and electronic component, even if an additional text matching module is added. In this paper, we propose a unified vision-language modeling method for e-commerce same-style products retrieval, which is designed to represent one product with its textual descriptions and visual contents. |
BEN CHEN et. al. | arxiv-cs.IR | 2023-02-10 |
| 516 | Neural Artistic Style Transfer with Conditional Adversaria Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present two methods that step toward the style image independent neural style transfer model. |
P. N. Deelaka; | arxiv-cs.CV | 2023-02-07 |
| 517 | Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout Preservation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Besides, existing methods are mainly based on test-time optimization or fine-tuning model for each input image, which are extremely time-consuming for practical applications. To address these issues, we propose a new approach for flexible image translation by learning a layout-aware image condition together with a text condition. |
Shiqi Sun; Shancheng Fang; Qian He; Wei Liu; | arxiv-cs.CV | 2023-02-04 |
| 518 | ReDi: Efficient Learning-Free Diffusion Inference Via Trajectory Retrieval Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To accelerate the inference, we propose ReDi, a simple yet learning-free Retrieval-based Diffusion sampling framework. |
Kexun Zhang; Xianjun Yang; William Yang Wang; Lei Li; | arxiv-cs.CV | 2023-02-04 |
| 519 | Multi-domain Image Generation and Translation with Identifiability Guarantees IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the recent advances in nonlinear Independent Component Analysis (ICA) theory, we propose a new method to learn the joint distribution from the marginals by enforcing a specific type of minimal change across domains. |
Shaoan Xie; Lingjing Kong; Mingming Gong; Kun Zhang; | iclr | 2023-02-01 |
| 520 | Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present rectified flow, a simple approach to learning (neural) ordinary differential equation (ODE) models to transport between two empirically observed distributions $\pi_0$ and $\pi_1$, hence providing a unified solution to generative modeling and domain transfer, among various other tasks involving distribution transport. |
Xingchao Liu; Chengyue Gong; qiang liu; | iclr | 2023-02-01 |
| 521 | Extremal Domain Translation with Neural Optimal Transport Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the recent advances in neural optimal transport (OT), we propose a scalable algorithm to approximate ET maps as a limit of partial OT maps. |
Milena Gazdieva; Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev; | arxiv-cs.LG | 2023-01-30 |
| 522 | Edge-guided Multi-domain RGB-to-TIR Image Translation for Training Vision Tasks with Challenging Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As a remedy, we propose a modified multidomain RGB to TIR image translation model focused on edge preservation to employ annotated RGB images with challenging labels. |
Dong-Guw Lee; Myung-Hwan Jeon; Younggun Cho; Ayoung Kim; | arxiv-cs.CV | 2023-01-30 |
| 523 | ITstyler: Image-optimized Text-based Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we achieve a data-efficient text-based style transfer method that does not require optimization at the inference stage. |
Yunpeng Bai; Jiayue Liu; Chao Dong; Chun Yuan; | arxiv-cs.CV | 2023-01-25 |
| 524 | A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the features of FilmSet images, we propose a novel framework called FilmNet based on Laplacian Pyramid for stylizing images across frequency bands and achieving film style outcomes. |
Zinuo Li; Xuhang Chen; Shuqiang Wang; Chi-Man Pun; | arxiv-cs.CV | 2023-01-20 |
| 525 | Acoustic Camera Pose Refinement Using Differentiable Rendering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Acoustic cameras, also known as 2D forward looking sonars, show high reliability in underwater environments as they can produce high resolution images even if the illumination is … |
CHUJIE WU et. al. | 2023 IEEE/SICE International Symposium on System … | 2023-01-17 |
| 526 | Tackling Data Bias in Painting Classification with Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a system to handle data bias in small paintings datasets like the Kaokore dataset while simultaneously accounting for domain adaptation in fine-tuning a model trained on real world images. |
Mridula Vijendran; Frederick W. B. Li; Hubert P. H. Shum; | arxiv-cs.CV | 2023-01-06 |
| 527 | FAEC‐GAN: An Unsupervised Face‐to‐anime Translation Based on Edge Enhancement and Coordinate Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Animation is a widely loved artistic form with high abstraction and powerful expression. The task of image translation from face to anime involves complex geometric and texture … |
Hong Lin; Chenchen Xu; Chun Liu; | Computer Animation and Virtual Worlds | 2023-01-03 |
| 528 | Edge Enhanced Image Style Transfer Via Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To stylize the image with sufficient style patterns, the content details may be damaged and sometimes the objects of images can not be distinguished clearly. For this reason, we present a new transformer-based method named STT for image style transfer and an edge loss which can enhance the content details apparently to avoid generating blurred results for excessive rendering on style features. |
Chiyu Zhang; Jun Yang; Zaiyan Dai; Peng Cao; | arxiv-cs.CV | 2023-01-02 |
| 529 | Interactive Control Over Temporal Consistency While Stylizing Video Streams Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Moreover, making this control interactive is paramount from a usability perspective. To achieve the above requirements, we propose an approach that stylizes video streams in real-time at full HD resolutions while providing interactive consistency control. |
SUMIT SHEKHAR et. al. | arxiv-cs.GR | 2023-01-02 |
| 530 | Side-Scan Sonar Image Simulation Considering Imaging Mechanism and Marine Environment for Zero-Shot Shipwreck Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the process of side-scan sonar (SSS) image target detection and recognition, the direct application of deep learning techniques will cause serious overfitting due to the … |
Zhao Xi; Jianhu Zhao; Weiqiang Zhu; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 531 | Enhancing Style-Guided Image-to-Image Translation Via Self-Supervised Metric Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There has been significant success in recent image-to-image translation (I2I) approaches in translating the source image into the style of the target image. Existing techniques … |
Qi Mao; Siwei Ma; | IEEE Transactions on Multimedia | 2023-01-01 |
| 532 | TwinGAN: Twin Generative Adversarial Network for Chinese Landscape Painting Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, style transfers have received considerable attention. However, most of these studies were suitable for Western paintings. In this paper, a deep learning method is … |
Der-Lor Way; Chang-Hao Lo; Yueqing Wei; Zen-Chung Shih; | IEEE Access | 2023-01-01 |
| 533 | A Hybrid Artistic Model Using Deepy-Dream Model and Multiple Convolutional Neural Networks Architectures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The significant increase in drug abuse cases prompts developers to investigate techniques that mimic the hallucinations imagined by addicts and abusers, in addition to the … |
Lafta R. Al-khazraji; A. Abbas; A. S. Jamil; A. Hussain; | IEEE Access | 2023-01-01 |
| 534 | Accelerating Neural Style-Transfer Using Contrastive Learning for Unsupervised Satellite Image Super-Resolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Contrastive learning is a self-supervised comparison of two samples to identify characteristics and traits that distinguish one data class from another, improving performance on … |
Divya Mishra; O. Hadar; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 535 | InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we present a novel approach for Chinese Ink-and-Wash style transfer using a GAN structure. The proposed method incorporates a specially designed smooth loss tailored … |
KEYI YU et. al. | Adv. Artif. Intell. Mach. Learn. | 2023-01-01 |
| 536 | P$^{2}$-GAN: Efficient Stroke Style Transfer Using Single Style Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer is a useful image synthesis technique that can re-render given image into another artistic style while preserving its content information. Generative Adversarial … |
Zhentan Zheng; Jianyi Liu; Nanning Zheng; | IEEE Transactions on Multimedia | 2023-01-01 |
| 537 | Application of Artificial Intelligence-based Style Transfer Algorithm in Animation Special Effects Design Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Today, the rapid development of computer technology changes with each passing day. In the computer field, computer animation has rapidly grown from a new thing to a leading … |
Shan Li; | Open Computer Science | 2023-01-01 |
| 538 | From External to Internal: Structuring Image for Text-to-Image Attributes Manipulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Manipulating visual attributes of an image through a natural language description, known as text-to-image attributes manipulation (T2AM), is a challenging task. However, existing … |
LIANLI GAO et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
| 539 | GAN Architecture Leveraging A Retinex Model With Colored Illumination for Low-Light Image Restoration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we study the restoration of text low-light images with outdoor scenes without ground truth. Until now, approaches in the literature have avoided using the Retinex … |
Arthur Lecert; A. Roumy; R. Fraisse; C. Guillemot; | IEEE Access | 2023-01-01 |
| 540 | StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a LoRA-free method for stylized image generation that takes a text prompt and style reference images as inputs and produces an output image in a single pass. … |
ZHOUXIA WANG et. al. | ArXiv | 2023-01-01 |
| 541 | Text-Guided Image Manipulation Via Generative Adversarial Network With Referring Image Segmentation-Based Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes a novel text-guided image manipulation method that introduces referring image segmentation into a generative adversarial network. The proposed text-guided … |
Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa; M. Haseyama; | IEEE Access | 2023-01-01 |
| 542 | MS-SST: Single Image Reconstruction-Based Stain-Style Transfer for Multi-Domain Hematoxylin & Eosin Stained Pathology Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In digital pathology, pathological tissue images that are obtained using scanners are analyzed and diseases are diagnosed. One crucial aspect of this process is the staining of … |
Juwon Kweon; Mujung Kim; Gilly Yun; Soon-chul Kwon; Jisang Yoo; | IEEE Access | 2023-01-01 |
| 543 | SAMStyler: Enhancing Visual Creativity With Neural Style Transfer and Segment Anything Model (SAM) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with … |
KONSTANTINOS PSYCHOGYIOS et. al. | IEEE Access | 2023-01-01 |
| 544 | Treatment Learning Causal Transformer for Noisy Image Classification Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current top-notch deep learning (DL) based vision models are primarily based on exploring and exploiting the inherent correlations between training data samples and their … |
C. Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 545 | Augment CAPTCHA Security Using Adversarial Examples With Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To counteract rising bots, many CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart) have been developed throughout the years. Automated attacks, … |
Nghia Dinh; Kiet Tran-Trung; Vinh Truong Hoang; | IEEE Access | 2023-01-01 |
| 546 | Synthetic Driver Image Generation for Human Pose-Related Tasks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : The interest in driver monitoring has grown recently, especially in the context of autonomous vehicles. However, the training of deep neural networks for computer vision … |
Romain Guesdon; C. Crispim; Laure Tougne Rodet; | VISIGRAPP | 2023-01-01 |
| 547 | Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text-to-image synthesis is a fascinating area of research that aims to generate images based on textual descriptions. The main goal of this field is to generate images that match … |
YONG XUAN TAN et. al. | IEEE Access | 2023-01-01 |
| 548 | Facial Expression Transfer Based on Conditional Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of computer vision and image transfer, facial expression transfer has been more and more widespread applications. But there are still some problems, such as … |
Yang Fan; Xingguo Jiang; Shuxing. Lan; Jianghai Lan; | IEEE Access | 2023-01-01 |
| 549 | A Novel Human Image Sequence Synthesis Method By Pose-Shape-Content Inference Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In online clothing sales, static model images only describe specific clothing statuses towards consumers. Without increasing shooting costs, it is a subject to display clothing … |
N. FANG et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
| 550 | Arbitrary Style Transfer With Fused Convolutional Block Attention Modules Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advancement of deep learning has rendered image style transfer a progressively intricate subject matter. The proposed solution aims to tackle the limitations of current … |
H. Xin; L. Li; | IEEE Access | 2023-01-01 |
| 551 | Image and Video Style Transfer Based on Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The essence of image style transfer is to generate images that both maintain in the original content image and present the effect with artistic features under the guidance of … |
FENGXUE SUN et. al. | IEEE Access | 2023-01-01 |
| 552 | Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Network architecture plays a pivotal role in style transfer. Most existing algorithms use VGG19 as the feature extractor, which incurs a high computational cost. In this work, we … |
Jie An; Tao Li; Haozhi Huang; Jinwen Ma; Jiebo Luo; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 553 | MFSANet: Zero-Shot Side-Scan Sonar Image Recognition Based on Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Side-scan sonar (SSS) is attracting increasing attention in ocean exploration for its utility and stability on autonomous underwater vehicles (AUVs). Existing SSS image … |
Hongli Xu; Zhongyu Bai; X. Zhang; Qichuan Ding; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 554 | Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text style transfer is an important task to render artistic texts from a reference image or style, and is widely desired in many visual creations. Previous works have brought some … |
W. Mao; Shuai Yang; Huihong Shi; Jiaying Liu; Zhongfeng Wang; | IEEE Transactions on Multimedia | 2023-01-01 |
| 555 | RAST: Restorable Arbitrary Style Transfer Via Multi-restoration Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Arbitrary style transfer aims to reproduce the target image with the artistic or photo-realistic styles provided. Even though existing approaches can successfully transfer style … |
Yingnan Ma; Chenqiu Zhao; Anup Basu; Xudong Li; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 556 | Disentangled Representation for Cross-Domain Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a long-standing problem in medical image analysis to facilitate the clinical diagnosis and intervention. Progress has been made due to deep learning via … |
JIEXI WANG et. al. | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 557 | Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such … |
M. MAASHI et. al. | IEEE Access | 2023-01-01 |
| 558 | Face-PAST: Facial Pose Awareness and Style Transfer Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial style transfer has been quite popular among researchers due to the rise of emerging technologies such as eXtended Reality (XR), Metaverse, and Non-Fungible Tokens (NFTs). … |
Sunder Ali Khowaja; Ghulam Mujtaba; Jiseok Yoon; I. Lee; | ArXiv | 2023-01-01 |
| 559 | Fine-Grained Face Editing Via Personalized Spatial-Aware Affine Modulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fine-grained face editing, as a special case of image translation task, aims at modifying face attributes according to users’ preference. Although generative adversarial networks … |
SI LIU et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
| 560 | Bimodal Neural Style Transfer for Image Generation Based on Text Prompts Related Papers Related Patents Related Grants Related Venues Related Experts View |
Diego Gutiérrez; Marcelo Mendoza; | Interacción | 2023-01-01 |
| 561 | ICDaeLST: Intensity-Controllable Detail Attention-enhanced for Lightweight Fast Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The mainstream style transfer methods usually use pre-trained deep convolutional neural network (VGG) models as encoders, or use more complex model structures to achieve better … |
Jiang Shi Qi; | ArXiv | 2023-01-01 |
| 562 | Unsupervised Image-to-image Translation Via Long-short Cycle-consistent Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gang Wang; Haibo Shi; Yufei Chen; Bin Wu; | Applied Intelligence | 2022-12-28 |
| 563 | Arbitrary Style Transfer with Semantic Content Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Arbitrary style transfer is an import topic which changes the style of a source image according to a reference one. It is useful for artistic creation and intelligent imaging … |
GUOSHUAI LI et. al. | Proceedings of the 18th ACM SIGGRAPH International … | 2022-12-27 |
| 564 | Scaling Painting Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper provides a solution to solve the original global optimization for ultra-high resolution (UHR) images, enabling multiscale NST at unprecedented image sizes. |
Bruno Galerne; Lara Raad; José Lezama; Jean-Michel Morel; | arxiv-cs.CV | 2022-12-27 |
| 565 | DSI2I: Dense Style for Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, in contrast, we propose to represent style as a dense feature map, allowing for a finer-grained transfer to the source image without requiring any external semantic information. |
Baran Ozaydin; Tong Zhang; Sabine Süsstrunk; Mathieu Salzmann; | arxiv-cs.CV | 2022-12-26 |
| 566 | Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our analysis reveals that existing data-driven methods are either too simplistic or introduce significant artifacts into the imagery. To overcome these limitations, we propose meta-learning style transfer (MLST), which learns a stylization by composing and tuning well-behaved analytic functions. |
Evelyn A. Stump; Francesco Luzi; Leslie M. Collins; Jordan M. Malof; | arxiv-cs.CV | 2022-12-24 |
| 567 | Artistic Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite all the efforts, it’s still a major challenge to apply the artistic style that was originally created on top of the structure of the content image while maintaining consistency. In this work, we solved these problems by using a Deep Learning approach using Convolutional Neural Networks. |
Weiting Li; Rahul Vyas; Ramya Sree Penta; | arxiv-cs.CV | 2022-12-21 |
| 568 | QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we devise a new style transfer framework called QuantArt for high visual-fidelity stylization. |
Siyu Huang; Jie An; Donglai Wei; Jiebo Luo; Hanspeter Pfister; | arxiv-cs.CV | 2022-12-20 |
| 569 | StyleTRF: Stylizing Tensorial Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present StyleTRF, a compact, quick-to-optimize strategy for stylized view generation using TensoRF. |
Rahul Goel; Sirikonda Dhawal; Saurabh Saini; P. J. Narayanan; | arxiv-cs.CV | 2022-12-19 |
| 570 | ColoristaNet for Photorealistic Video Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To avoid employing the popular Gram loss, we propose a self-supervised style transfer framework, which contains a style removal part and a style restoration part. |
XIAOWEN QIU et. al. | arxiv-cs.CV | 2022-12-18 |
| 571 | Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the \textit{low-resource authorship style transfer} task, a more challenging class of authorship style transfer where only a limited amount of text in the target author’s style may exist. |
Ajay Patel; Nicholas Andrews; Chris Callison-Burch; | arxiv-cs.CL | 2022-12-17 |
| 572 | Zero-Shot Font Style Transfer with A Differentiable Renderer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, a large-scale language-image multi-modal model, CLIP, has been used to realize language-based image translation in a zero-shot manner without training. In this study, we … |
Kota Izumi; Keiji Yanai; | Proceedings of the 4th ACM International Conference on … | 2022-12-13 |
| 573 | Deep Image Style Transfer from Freeform Text Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper creates a novel method of deep neural style transfer by generating style images from freeform user text input. |
Tejas Santanam; Mengyang Liu; Jiangyue Yu; Zhaodong Yang; | arxiv-cs.CV | 2022-12-13 |
| 574 | Sonar Image Target Detection Based on Style Transfer Learning and Random Shape of Noise Under Zero Shot Target Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of sonar technology, sonar images have been widely used to detect targets. However, there are many challenges for sonar images in terms of object detection. … |
Jier Xi; Xiufen Ye; Chuanlong Li; | Remote. Sens. | 2022-12-10 |
| 575 | StyleTRF: Stylizing Tensorial Radiance Fields✱ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Stylized view generation of scenes captured casually using a camera has received much attention recently. The geometry and appearance of the scene are typically captured as neural … |
Rahul Goel; Dhawal Sirikonda; Saurabh Saini; P J Narayanan; | Proceedings of the Thirteenth Indian Conference on Computer … | 2022-12-08 |
| 576 | A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Histopathological images, as the gold standard for cancer diagnosis, record abundant information about microscopic structures and morphological characteristics through staining … |
Qi Jia; Jing Guo; Fei Du; Peng Yang; Yun Yang; | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 577 | Single-Modality Endoscopic Polyp Segmentation Via Random Color Reversal Synthesis and Two-Branched Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Endoscopic polyp segmentation plays a fundamental role in the diagnosis and treatment of colorectal cancer. However, polyp segmentation often suffers from limited accuracy due to … |
MINGZHU CHEN et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 578 | CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce CLIPVG, a text-guided image manipulation framework using differentiable vector graphics, which is also the first CLIP-based general image manipulation framework that does not require any additional generative models. |
YIREN SONG et. al. | arxiv-cs.CV | 2022-12-05 |
| 579 | Context‐based Style Transfer of Tokenized Gestures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Gestural animations in the amusement or entertainment field often require rich expressions; however, it is still challenging to synthesize characteristic gestures automatically. … |
Shigeru Kuriyama; Tomohiko Mukai; Takafumi Taketomi; T. Mukasa; | Computer Graphics Forum | 2022-12-01 |
| 580 | Progressive Domain Translation Defogging Network for Real-World Fog Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Images captured in bad weather are affected by atmospheric scattering. To remove image degradation caused by scattering, many defogging methods have been proposed. However, due to … |
Q. Guo; Mingliang Zhou; | IEEE Transactions on Broadcasting | 2022-12-01 |
| 581 | Reference Based Sketch Extraction Via Attention Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a model that extracts a sketch from a colorized image in such a way that the extracted sketch has a line style similar to a given reference sketch while preserving the … |
Amirsaman Ashtari; Chang Wook Seo; C. Kang; Sihun Cha; Jun-yong Noh; | ACM Transactions on Graphics (TOG) | 2022-11-30 |
| 582 | Neural Photo-Finishing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image processing pipelines are ubiquitous and we rely on them either directly, by filtering or adjusting an image post-capture, or indirectly, as image signal processing (ISP) … |
ETHAN TSENG et. al. | ACM Transactions on Graphics (TOG) | 2022-11-30 |
| 583 | Interactive Image Manipulation with Complex Text Instructions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, text-guided image manipulation has received increasing attention in the research field of multimedia processing and computer vision due to its high flexibility and … |
Ryugo Morita; Zhiqiang Zhang; Man M. Ho; Jinjia Zhou; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2022-11-25 |
| 584 | Structure-aware Video Style Transfer with Map Art Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Changing the style of an image/video while preserving its content is a crucial criterion to access a new neural style transfer algorithm. However, it is very challenging to … |
T. Le; Ya-Hsuan Chen; Tong-Yee Lee; | ACM Transactions on Multimedia Computing, Communications … | 2022-11-23 |
| 585 | Touch and Go: Learning from Human-Collected Vision and Touch IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a dataset with paired visual and tactile data called Touch and Go, in which human data collectors probe objects in natural environments using tactile sensors, while simultaneously recording egocentric video. |
FENGYU YANG et. al. | arxiv-cs.CV | 2022-11-22 |
| 586 | LISA: Localized Image Stylization with Audio Via Implicit Neural Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization. |
SEUNG HYUN LEE et. al. | arxiv-cs.CV | 2022-11-21 |
| 587 | DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present DiffStyler on the basis of diffusion models. |
NISHA HUANG et. al. | arxiv-cs.CV | 2022-11-19 |
| 588 | Single Stage Multi-Pose Virtual Try-On Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel single stage model for MPVTON. |
Sen He; Yi-Zhe Song; Tao Xiang; | arxiv-cs.CV | 2022-11-19 |
| 589 | Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present X-DualNet, a simple yet effective approach that enables unsupervised 3D pose transfer. |
Chaoyue Song; Jiacheng Wei; Ruibo Li; Fayao Liu; Guosheng Lin; | arxiv-cs.CV | 2022-11-18 |
| 590 | Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we propose a novel style guidance method to support generating images using arbitrary style guided by a reference image. |
Zhihong Pan; Xin Zhou; Hao Tian; | arxiv-cs.CV | 2022-11-14 |
| 591 | Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This letter proposed a framework for learning the visual representation of underwater acoustic imageries, which takes a transformer-based style transfer model as the main body. |
XIAOTENG ZHOU et. al. | arxiv-cs.CV | 2022-11-10 |
| 592 | Thermal-to-Color Image Translation for Enhancing Visual Odometry of Thermal Vision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A panoptic perception-based generative adversarial network for thermal-to-color image translation is proposed to demonstrate its potential as an image sequence enhancement for … |
Liyun Zhang; P. Ratsamee; Yuuki Uranishi; Manabu Higashida; H. Takemura; | 2022 IEEE International Symposium on Safety, Security, and … | 2022-11-08 |
| 593 | Text-driven Photorealistic 3D Stylization For Arbitrary Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Technically, we propose to disentangle the appearance style as the spatially varying bidirectional reflectance distribution function, the local geometric variation, and the lighting condition, which are jointly optimized, via supervision of the CLIP loss, by a spherical Gaussians based differentiable renderer. |
yongwei chen; chen rui; Jiabao Lei; Yabin Zhang; Kui Jia; | nips | 2022-11-06 |
| 594 | Unsupervised Image-to-Image Translation with Density Changing Regularization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we make a density changing assumption where image patches of high probability density should be mapped to patches of high probability density in another domain. |
Shaoan Xie; Qirong Ho; Kun Zhang; | nips | 2022-11-06 |
| 595 | Generalized One-shot Domain Adaption of Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Besides, to realize cross-domain correspondence, we propose the variational Laplacian regularization to constrain the smoothness of the adapted generator. |
ZICHENG ZHANG et. al. | nips | 2022-11-06 |
| 596 | Dense Interspecies Face Embedding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new task of cross-domain face understanding, and propose a dense interspecies face embedding (DIFE) learned in an unsupervised manner by our multi-teacher knowledge distillation and pseudo-paired data synthesis. |
Sejong Yang; Subin Jeon; Seonghyeon Nam; Seon Joo Kim; | nips | 2022-11-06 |
| 597 | ConvUNeXt: A Lightweight Convolutional Neural Network for Watercolor Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image transformation is the task of transforming an image from one domain to another. It includes the task of converting an image to an artistic style such as oil … |
Haoran Su; Jiamian Huang; Yasuaki Ito; K. Nakano; | 2022 Tenth International Symposium on Computing and … | 2022-11-01 |
| 598 | Generating Community Road Network from GPS Trajectories Via Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Road network generation from massive trajectories has mainly focused on the mining of urban arterial roads while the demand for refined road networks in communities full of … |
JIAWEI LI et. al. | Proceedings of the 30th International Conference on … | 2022-11-01 |
| 599 | Text-Only Training for Image Captioning Using Noise-Injected CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We consider the task of image-captioning using only the CLIP model and additional text data at training time, and no additional captioned images. |
David Nukrai; Ron Mokady; Amir Globerson; | arxiv-cs.CV | 2022-11-01 |
| 600 | Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data … |
L. G. DIVYANTH et. al. | Algorithms | 2022-10-30 |
| 601 | MagicMix: Semantic Mixing with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Have you ever imagined what a corgi-alike coffee machine or a tiger-alike rabbit would look like? In this work, we attempt to answer these questions by exploring a new task called semantic mixing, aiming at blending two different semantics to create a new concept (e.g., corgi + coffee machine — > corgi-alike coffee machine). |
Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng; | arxiv-cs.CV | 2022-10-28 |
| 602 | SynLibras: A Disentangled Deep Generative Model for Brazilian Sign Language Synthesis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances regarding deep generative models have strengthened a realm of approaches in which discriminative and generative tasks are tackled jointly in an … |
Wellington Silveira; Andrew Alaniz; Marina Hurtado; Bernardo Castello Da Silva; Rodrigo Andrade de Bem; | 2022 35th SIBGRAPI Conference on Graphics, Patterns and … | 2022-10-24 |
| 603 | Efficient Hair Style Transfer with Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The current state-of-the-art hair synthesis approaches struggle to maintain global composition of the target style and cannot be used in real-time applications due to their high running costs on high-resolution portrait images. Therefore, We propose a novel hairstyle transfer method, called EHGAN, which reduces computational costs to enable real-time processing while improving the transfer of hairstyle with better global structure compared to the other state-of-the-art hair synthesis methods. |
Muhammed Pektas; Baris Gecer; Aybars Ugur; | arxiv-cs.CV | 2022-10-22 |
| 604 | Panoramic Image Style Transfer Technology Based on Multi-attention Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xin Xiang; Wujian Ye; Yijun Liu; | Proceedings of the 5th International Conference on Computer … | 2022-10-21 |
| 605 | TANGO: Text-driven Photorealistic and Robust 3D Stylization Via Lighting Decomposition IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on stylizing photorealistic appearance renderings of a given surface mesh of arbitrary topology. |
Yongwei Chen; Rui Chen; Jiabao Lei; Yabin Zhang; Kui Jia; | arxiv-cs.CV | 2022-10-20 |
| 606 | Learning Visual Styles from Audio-Visual Associations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a method for learning visual styles from unlabeled audio-visual data. |
Tingle Li; Yichen Liu; Andrew Owens; Hang Zhao; | eccv | 2022-10-19 |
| 607 | K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images Via Local Style Alignment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While prior works have explored image de-identification strategies based on synthetic averaging of images in other domains (e.g. facial images), existing techniques face difficulty in preserving both privacy and clinical utility in retinal images, as we demonstrate in our work. We therefore introduce k-SALSA, a generative adversarial network (GAN)-based framework for synthesizing retinal fundus images that summarize a given private dataset while satisfying the privacy notion of k-anonymity. |
Minkyu Jeon; Hyeonjin Park; Hyunwoo J. Kim; Michael Morley; Hyunghoon Cho; | eccv | 2022-10-19 |
| 608 | WISE: Whitebox Image Stylization By Example-Based Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, adapting or extending these techniques to produce new styles is often a tedious and error-prone task that requires expert knowledge. We propose a new paradigm to alleviate this problem: implementing algorithmic image filtering techniques as differentiable operations that can learn parametrizations aligned to certain reference styles. |
TZSCH WINFRIED L&OUML et. al. | eccv | 2022-10-19 |
| 609 | TIPS: Text-Induced Pose Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we first present the shortcomings of current pose transfer algorithms and then propose a novel text-based pose transfer technique to address those issues. |
Prasun Roy; Subhankar Ghosh; Saumik Bhattacharya; Umapada Pal; Michael Blumenstein; | eccv | 2022-10-19 |
| 610 | CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing videos during training. |
Zijie Wu; Zhen Zhu; Junping Du; Xiang Bai; | eccv | 2022-10-19 |
| 611 | SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce SCAM (Semantic Cross Attention Modulation), a system that encodes rich and diverse information in each semantic region of the image (including foreground and background), thus achieving precise generation with emphasis on fine details. |
Nicolas Dufour; David Picard; Vicky Kalogeiton; | eccv | 2022-10-19 |
| 612 | Cross Attention Based Style Distribution for Controllable Person Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer. |
XINYUE ZHOU et. al. | eccv | 2022-10-19 |
| 613 | Skeleton-Free Pose Transfer for Stylized 3D Characters IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging. |
Zhouyingcheng Liao; Jimei Yang; Jun Saito; Gerard Pons-Moll; Yang Zhou; | eccv | 2022-10-19 |
| 614 | Language-Driven Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new task—language-driven artistic style transfer (LDAST)—to manipulate the style of a content image, guided by a text. |
Tsu-Jui Fu; Xin Eric Wang; William Yang Wang; | eccv | 2022-10-19 |
| 615 | ManiFest: Manifold Deformation for Few-Shot Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We instead propose ManiFest: a framework for few-shot image translation that learns a context-aware representation of a target domain from a few images only. |
Fabio Pizzati; ois Lalonde Jean-Franç Raoul de Charette; | eccv | 2022-10-19 |
| 616 | Vector Quantized Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose introducing the vector quantization technique into the image-to-image translation framework. |
Yu-Jie Chen; Shin-I Cheng; Wei-Chen Chiu; Hung-Yu Tseng; Hsin-Ying Lee; | eccv | 2022-10-19 |
| 617 | Harmonizer: Learning to Perform White-Box Image and Video Harmonization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we observe that adjusting the input arguments of basic image filters, e.g., brightness and contrast, is sufficient for humans to produce realistic images from the composite ones. |
Zhanghan Ke; Chunyi Sun; Lei Zhu; Ke Xu; Rynson W.H. Lau; | eccv | 2022-10-19 |
| 618 | Bi-Level Feature Alignment for Versatile Image Translation and Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a versatile image translation and manipulation framework that achieves accurate semantic and style guidance in image generation by explicitly building a correspondence. |
FANGNENG ZHAN et. al. | eccv | 2022-10-19 |
| 619 | Image-Based CLIP-Guided Essence Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our blending operator combines the powerful StyleGAN generator and the semantic encoder of CLIP in a novel way that is simultaneously additive in both latent spaces, resulting in a mechanism that guarantees both identity preservation and high-level feature transfer without relying on a facial recognition network. |
Hila Chefer; Sagie Benaim; Roni Paiss; Lior Wolf; | eccv | 2022-10-19 |
| 620 | Interpolated SelectionConv for Spherical Images and Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new and general framework for convolutional neural network operations on spherical (or omnidirectional) images. |
David Hart; Michael Whitney; Bryan Morse; | arxiv-cs.CV | 2022-10-18 |
| 621 | Illumination-Aware Style Transfer for Image Harmonization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image harmonization aims to make composite images visually consistent by adjusting the appearance of the foreground to make it harmonious with the background. Previous methods … |
Teng Ren; Haitao Zhang; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 622 | Revisiting Artistic Style Transfer for Data Augmentation in A Real-Case Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A tremendous number of techniques have been proposed to transfer artistic style from one image to another. In particular, techniques exploiting neural representation of data; from … |
Stefano D’Angelo; F. Precioso; F. Gandon; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 623 | Style Transfer Using Optimal Transport Via Wasserstein Distance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Universal style transfer has been proven to be effective through CNN models and VGG networks. However, how well to apply the algorithm’s style is a separate issue. This problem is … |
Oseok Ryu; Bowon Lee; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 624 | Image Data Augmentation with Unpaired Image-to-Image Camera Model Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Many image datasets are built from web searches, with images taken by various cameras. The variance of camera sources can lead to different camera signals and colors within images … |
Chi Fa Foo; Stefan Winkler; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 625 | Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a novel assessment approach to the performance of image manipulation using natural language descriptions in this paper. Text-guided image manipulation aims to modify an … |
Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa; M. Haseyama; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 626 | A Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-Scale Image Matching Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since a few years and the advent of convolutional neural networks, algorithms for artistic style transfer between images have developed considerably. However, these methods … |
Benjamin Samuth; D. Tschumperlé; J. Rabin; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 627 | Hyprogan: Breaking The Dimensional Wall From Human to Anime Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image translation from human faces to anime ones brings a low-end, efficient way to create animation characters for animation industry. However, due to the significant … |
Yinpeng Chen; Jiale Zhang; Z. Cao; Hao Lu; Weicai Zhong; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 628 | Controllable Style Transfer Via Test-time Training of Implicit Neural Representation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a controllable style transfer framework based on Implicit Neural Representation that pixel-wisely controls the stylized output via test-time training. |
Sunwoo Kim; Youngjo Min; Younghun Jung; Seungryong Kim; | arxiv-cs.CV | 2022-10-14 |
| 629 | Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work demonstrates the possibilities of using physics-based rendering for labeled image dataset generation, as well as image-to-image translation capabilities to improve the accuracy of real image segmentation for AM systems. |
Aliaksei Petsiuk; Harnoor Singh; Himanshu Dadhwal; Joshua M. Pearce; | arxiv-cs.CV | 2022-10-13 |
| 630 | Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a general-purpose transformation that enables controlling the balance between how much content is preserved and the strength of the infused style. |
Tai-Yin Chiu; Danna Gurari; | arxiv-cs.CV | 2022-10-12 |
| 631 | Fine-Grained Image Style Transfer with Visual Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Such a design usually destroys the spatial information of the input images and fails to transfer fine-grained style patterns into style transfer results. To solve this problem, we propose a novel STyle TRansformer (STTR) network which breaks both content and style images into visual tokens to achieve a fine-grained style transformation. |
Jianbo Wang; Huan Yang; Jianlong Fu; Toshihiko Yamasaki; Baining Guo; | arxiv-cs.CV | 2022-10-11 |
| 632 | Photorealistic Style Transfer Via Adaptive Filtering and Channel Seperation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The problem of color and texture distortion remains unsolved in the photorealistic style transfer task. It is mainly caused by the interference between color and texture during … |
HONGWEI DING et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 633 | Bridging CLIP and StyleGAN Through Latent Alignment for Image Editing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we manage to achieve inference-time optimization-free diverse manipulation direction mining by bridging CLIP and StyleGAN through Latent Alignment (CSLA). |
Wanfeng Zheng; Qiang Li; Xiaoyan Guo; Pengfei Wan; Zhongyuan Wang; | arxiv-cs.CV | 2022-10-10 |
| 634 | Adaptive Affine Transformation: A Simple and Effective Operation for Spatial Misaligned Image Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One challenging problem, named spatial misaligned image generation, describing a translation between two face/pose images with large spatial deformation, is widely faced in tasks … |
Zhimeng Zhang; Yu-qiong Ding; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 635 | Emotional Machines: Toward Affective Virtual Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Emotional Machines is an interactive installation that builds affective virtual environments through spoken language. In response to the existing limitations of emotion … |
Jorge Forero; Gilberto Bernardes; Mónica Mendes; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 636 | CACOLIT: Cross-domain Adaptive Co-learning for Imbalanced Image-to-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: State-of-the-art unsupervised image-to-image translation (I2I) methods have made great progress on transferring images from a source domain X to a target domain Y. However, … |
Yijun Wang; Tao Liang; Jianxin Lin; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 637 | D2Animator: Dual Distillation of StyleGAN For High-Resolution Face Animation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The style-based generator architectures (e.g. StyleGAN v1, v2) largely promote the controllability and explainability of Generative Adversarial Networks (GANs). Many researchers … |
Zhuo Chen; Chaoyue Wang; Haimei Zhao; Bo Yuan; Xiu Li; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 638 | Text Style Transfer Based on Multi-factor Disentanglement and Mixture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text style transfer aims to transfer the reference style of one text image to another text image. Previous works have only been able to transfer the style to a binary text image. … |
Anna Zhu; Zhanhui Yin; Brian Kenji Iwana; Xinyu Zhou; Shengwu Xiong; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 639 | Detach and Attach: Stylized Image Captioning Without Paired Stylized Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Stylized Image Captioning aims to generate captions with accurate image content and stylized elements simultaneously. However, large-scaled image and stylized caption pairs cost … |
YUTONG TAN et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 640 | Attention-Guided Generative Adversarial Network for Explainable Thermal to Visible Face Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Thermal to visible face image translation aims at synthesizing high-fidelity visible face images from thermal counterparts, placing emphasis on preserving the identity of the … |
Cunjian Chen; David Anghelone; Philippe Faure; A. Dantcheva; | 2022 IEEE International Joint Conference on Biometrics … | 2022-10-10 |
| 641 | SST-GAN: Single Sample-based Realistic Traffic Image Generation for Parallel Vision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To improve their adaptability to various kinds of driving situations, deep learning-based vision algorithms need images from rare scenes, such as extreme weather conditions and … |
Jiangong Wang; Yutong Wang; Yonglin Tian; Xiao Wang; Fei-Yue Wang; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
| 642 | Semi-Supervised Image-to-Image Translation for Lane Detection in Rain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Impressive progress has recently been made in deep learning based lane detection for the autonomous vehicle domain using an in-car camera. However, relatively little attention was … |
Jian-Gang Wang; K. Wan; C. H. Pang; W. Yau; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
| 643 | A Multi-view Driver Drowsiness Detection Method Using Transfer Learning and Population-based Sampling Strategy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Driver drowsiness is an important factor in traffic safety. Thus, many researchers endeavor to develop a reliable driver drowsiness detection system. However, the large variation … |
Jinxin Chen; Zhenwu Fang; Jinxiang Wang; Jiansong Chen; Guo-dong Yin; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
| 644 | MultiStyleGAN: Multiple One-shot Image Stylizations Using A Single GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a MultiStyleGAN method that is capable of producing multiple different stylizations at once by fine-tuning a single generator. |
Viraj Shah; Ayush Sarkar; Sudharsan Krishnakumar Anitha; Svetlana Lazebnik; | arxiv-cs.CV | 2022-10-08 |
| 645 | CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for A Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Disentanglement, interpretability, and controllability are also hard to guarantee for manipulation. To alleviate these problems, we propose to define corpus subspaces spanned by relevant prompts to capture specific image characteristics. |
Chenliang Zhou; Fangcheng Zhong; Cengiz Oztireli; | arxiv-cs.CV | 2022-10-08 |
| 646 | Pose Guided Human Image Synthesis with Partially Decoupled GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it is difficult to recover the detailed texture of the whole human image. To alleviate this problem, we propose a method by decoupling the human body into several parts (\eg, hair, face, hands, feet, \etc) and then using each of these parts to guide the synthesis of a realistic image of the person, which preserves the detailed information of the generated images. |
Jianhan Wu; Jianzong Wang; Shijing Si; Xiaoyang Qu; Jing Xiao; | arxiv-cs.CV | 2022-10-07 |
| 647 | FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present FastCLIPstyler, a generalised text-based image style transfer model capable of stylising images in a single forward pass for arbitrary text inputs. |
ANANDA PADHMANABHAN SURESH et. al. | arxiv-cs.CV | 2022-10-07 |
| 648 | LDEdit: Towards Generalized Text Guided Image Manipulation Via Latent Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an optimization-free method for the task of generic image manipulation from text prompts. |
Paramanand Chandramouli; Kanchana Vaishnavi Gandikota; | arxiv-cs.CV | 2022-10-05 |
| 649 | Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer By Permuting Textures Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Pose Transfer by Permuting Textures (PT$^2$), an approach for self-driven human pose transfer that disentangles pose from texture at the patch-level. |
Nannan Li; Kevin J. Shih; Bryan A. Plummer; | arxiv-cs.CV | 2022-10-04 |
| 650 | Federated Domain Generalization for Image Recognition Via Cross-Client Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel domain generalization method for image recognition under federated learning through cross-client style transfer (CCST) without exchanging data samples. |
Junming Chen; Meirui Jiang; Qi Dou; Qifeng Chen; | arxiv-cs.CV | 2022-10-03 |
| 651 | Diffusion-based Image Translation Using Disentangled Style and Content Representation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, due to the stochastic nature of diffusion models, it is often difficult to maintain the original content of the image during the reverse diffusion. To address this, here we present a novel diffusion-based unsupervised image translation method using disentangled style and content representation. |
Gihyun Kwon; Jong Chul Ye; | arxiv-cs.CV | 2022-09-30 |
| 652 | PerSign: Personalized Bangladeshi Sign Letters Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Bangladeshi Sign Language (BdSL) – like other sign languages – is tough to learn for general people, especially when it comes to expressing letters. In this poster, we propose PerSign, a system that can reproduce a person’s image by introducing sign gestures in it. |
Mohammad Imrul Jubair; Ali Ahnaf; Tashfiq Nahiyan Khan; Ullash Bhattacharjee; Tanjila Joti; | arxiv-cs.CV | 2022-09-29 |
| 653 | Garment Image Style Transfer Based on Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Before neural networks, image style transfer procedures had a common idea: analyze images with a certain style, build a mathematical or statistical model for the style, and then … |
Jing Wang; | J. Intell. Fuzzy Syst. | 2022-09-28 |
| 654 | One-side Virtual Histological Staining Model for Complex Human Samples Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Virtual histological staining technique with a label-free auto-fluorescence image as an input is a challenging scientific pursuit to visualize complicated biological structures … |
Lulin Shi; Ivy H. M. Wong; Claudia T. K. Lo; T. T. Wong; | 2022 IEEE-EMBS International Conference on Biomedical and … | 2022-09-27 |
| 655 | An Intelligent Registration Method of Heterogeneous Remote Sensing Images Based on Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Intelligent registration of heterogeneous remote sensing images is a hot issue in the field of remote sensing and has important research and application values. Due to the … |
Haoyang Tang; Xin Miao; Jiakun Shi; Zhifan Hua; Dongfang Yang; | Proceedings of the 2022 5th International Conference on … | 2022-09-23 |
| 656 | Improved GAN Model for Image Animation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation is a meaningful and challenging task in computer vision and artistic style transfer. It aims to learn a function which can transfer an image with other … |
Sirong Re; Jiaxin Li; Yiran Li; Junan Mao; | 2022 IEEE 5th International Conference on Information … | 2022-09-23 |
| 657 | VToonify: Controllable High-Resolution Portrait Video Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we investigate the challenging controllable high-resolution portrait video style transfer by introducing a novel VToonify framework. |
Shuai Yang; Liming Jiang; Ziwei Liu; Chen Change Loy; | arxiv-cs.CV | 2022-09-22 |
| 658 | StyleTime: Style Transfer for Synthetic Time Series Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, a novel formulation of time series style transfer is proposed for the purpose of synthetic data generation and enhancement. |
Yousef El-Laham; Svitlana Vyetrenko; | arxiv-cs.LG | 2022-09-22 |
| 659 | Correlation-based and Content-enhanced Network for Video Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hong-Shang Lin; Mengmeng Wang; Yong Liu; Jiaxin Kou; | Pattern Analysis and Applications | 2022-09-18 |
| 660 | High-resolution Semantically-consistent Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes an unsupervised domain adaptation model that preserves semantic consistency and per-pixel quality for the images during the style-transferring phase. |
MIKHAIL SOKOLOV et. al. | arxiv-cs.CV | 2022-09-13 |
| 661 | A New Face Image Manipulation Reveal Scheme Based on Face Detection and Image Watermarking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face image manipulation (FIM) algorithms and applications are increasing and distributing rapidly. Nowadays, one can easily find an application to manipulate face images for … |
Zahraa Aqeel Salih; R. T. Mohammed; Khamis A. Zidan; B. Khoo; | 2022 IEEE International Conference on Artificial … | 2022-09-13 |
| 662 | Time-of-Day Neural Style Transfer for Architectural Photographs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we specialize a neural style transfer method for architectural photography. |
Yingshu Chen; Tuan-Anh Vu; Ka-Chun Shum; Binh-Son Hua; Sai-Kit Yeung; | arxiv-cs.CV | 2022-09-13 |
| 663 | High-Resolution Semantically Consistent Image-to-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has become one of remote sensing scientists’ most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing … |
MIKHAIL SOKOLOV et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2022-09-13 |
| 664 | Lossless Coding of Multimodal Image Pairs Based on Image-To-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multimodal image coding often uses standard encoding algorithms, which do not exploit multimodality characteristics. This paper proposes a new cross-modality prediction approach … |
Joao O. Parracho; Lucas A. Thomaz; Luís M. N. Tavora; P. Assunção; S. Faria; | 2022 10th European Workshop on Visual Information … | 2022-09-11 |
| 665 | Generalized One-shot Domain Adaptation of Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on the one-shot case, which is more challenging and rarely explored in previous works. |
ZICHENG ZHANG et. al. | arxiv-cs.CV | 2022-09-08 |
| 666 | Pose Guided Human Motion Transfer By Exploiting 2D and 3D Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human motion transfer aims to animate the pose of a human in a source image driven by the poses of a human in a target video. To warp (transfer) human poses, most of the existing … |
Yahui Zhang; Shaodi You; Sezer Karaoglu; T. Gevers; | 2022 International Conference on 3D Vision (3DV) | 2022-09-01 |
| 667 | AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose AWADA, an Attention-Weighted Adversarial Domain Adaptation framework for creating a feedback loop between style-transformation and detection task. |
Maximilian Menke; Thomas Wenzel; Andreas Schwung; | arxiv-cs.CV | 2022-08-31 |
| 668 | Robust Sound-Guided Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach that first extends the image-text joint embedding space with sound and applies a direct latent optimization method to manipulate a given image based on audio input, e.g., the sound of rain. |
SEUNG HYUN LEE et. al. | arxiv-cs.CV | 2022-08-30 |
| 669 | Prior-Aware Synthetic Data to The Rescue: Animal Pose Estimation with Very Limited Real Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, when faced with serious data scarcity (i.e., $<10^2$ real images), the model performance stays unsatisfactory, particularly for limbs with considerable flexibility and several comparable parts. We therefore introduce a prior-aware synthetic animal data generation pipeline called PASyn to augment the animal pose data essential for robust pose estimation. |
Le Jiang; Shuangjun Liu; Xiangyu Bai; Sarah Ostadabbas; | arxiv-cs.CV | 2022-08-29 |
| 670 | AesUST: Towards Aesthetic-Enhanced Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing approaches suffer from the aesthetic-unrealistic problem that introduces disharmonious patterns and evident artifacts, making the results easy to spot from real paintings. To address this limitation, we propose AesUST, a novel Aesthetic-enhanced Universal Style Transfer approach that can generate aesthetically more realistic and pleasing results for arbitrary styles. |
ZHIZHONG WANG et. al. | arxiv-cs.CV | 2022-08-27 |
| 671 | Selective Manipulation of Disentangled Representations for Privacy-aware Facial Image Processing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, users are increasingly concerned about privacy issues such as function creep and malicious usage by third-party cloud providers. To alleviate this, we propose an edge-based filtering stage that removes privacy-sensitive attributes before the sensor data are transmitted to the cloud. |
Sander De Coninck; Wei-Cheng Wang; Sam Leroux; Pieter Simoens; | arxiv-cs.CV | 2022-08-26 |
| 672 | Exploring Deep Transfer Learning Interference Classification on Neural Style Transfer Generated Synthetic SAR Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic aperture radar (SAR) imagery has received a great deal of attention in recent years due to the deployment of many cutting edge spaceborne radar systems providing high … |
Richard Capraru; M. Ritchie; Jian-Gang Wang; B. Soong; | 2022 IEEE VTS Asia Pacific Wireless Communications … | 2022-08-24 |
| 673 | Unsupervised Structure-Consistent Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We improve this work by introducing a simple yet effective auxiliary module based on gradient reversal layers. |
Shima Shahfar; Charalambos Poullis; | arxiv-cs.CV | 2022-08-24 |
| 674 | EST-GAN: Enhancing Style Transfer GANs with Intermediate Game Render Passes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper we introduce EST-GAN, an approach to improve the realism of frames from unsophisticated game scenes. For this purpose, several Generative Adversarial Networks (GANs) … |
Martina Mittermueller; Zhanxiang Ye; H. Hlavacs; | 2022 IEEE Conference on Games (CoG) | 2022-08-21 |
| 675 | DesignerGAN: Sketch Your Own Photo Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Person image generation is a challenging problem due to the complexity of human body structure and the richness of clothing texture. Recent works have made great progress on pose … |
Binghao Zhao; Tianxiang Ma; Bo Peng; Jing Dong; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 676 | Scene Recognition for Blind Spot Via Road Safety Mirror and In-Vehicle Camera Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In Advanced Driver Assistance Systems (ADAS) which has been actively researched in recent years, it’s very important to understand the situation around the vehicle. Especially, … |
R. Sato; K. Onoguchi; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 677 | Cross-domain Object Detection Using Minimized Instance Shift Image–image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gen Liu; Jin Han; | The Visual Computer | 2022-08-16 |
| 678 | UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, a styling image must retrain a 3D scene representation network based on a neural radiation field. We propose a novel 3D scene photorealistic style transfer framework to address these issues. |
YAOSEN CHEN et. al. | arxiv-cs.CV | 2022-08-15 |
| 679 | Style Spectroscope: Improve Interpretability and Controllability Through Fourier Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we provide a systematic Fourier analysis on a general framework for UST. |
Zhiyu Jin; Xuli Shen; Bin Li; Xiangyang Xue; | arxiv-cs.CV | 2022-08-12 |
| 680 | VAE-CoGAN: Unpaired Image-to-image Translation for Low-level Vision Related Papers Related Patents Related Grants Related Venues Related Experts View |
Juan Zhang; Xiaoqi Lang; Bo-Siang Huang; Xiaoyan Jiang; | Signal, Image and Video Processing | 2022-08-11 |
| 681 | Towards Cross-speaker Reading Style Transfer on Audiobook Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to introduce a chunk-wise multi-scale cross-speaker style model to capture both the global genre and the local prosody in audiobook speeches. |
XIANG LI et. al. | arxiv-cs.SD | 2022-08-10 |
| 682 | Language-Guided Face Animation By Recurrent StyleGAN-based Generator Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we leverage the motion information and study a novel task, language-guided face animation, that aims to animate a static face image with the help of languages. |
TIANKAI HANG et. al. | arxiv-cs.CV | 2022-08-10 |
| 683 | HyperNST: Hyper-Networks for Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present HyperNST; a neural style transfer (NST) technique for the artistic stylization of images, based on Hyper-networks and the StyleGAN2 architecture. |
DAN RUTA et. al. | arxiv-cs.CV | 2022-08-09 |
| 684 | Neural Style Transfer for Image Steganography and Destylization with Supervised Image to Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mallika Garg; J. S. Ubhi; A. Aggarwal; | Multimedia Tools and Applications | 2022-08-08 |
| 685 | Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper demonstrates that more distinct and vivid cartoonization effect could be easily achieved with only basic adversarial loss. |
Xiang Gao; Yuqi Zhang; Yingjie Tian; | arxiv-cs.CV | 2022-08-02 |
| 686 | Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To quantitatively measure the quality of AST image, we propose a new sparse representation-based method, which computes the quality according to the sparse feature similarity. |
HANGWEI CHEN et. al. | arxiv-cs.CV | 2022-08-01 |
| 687 | Cross-domain Image Translation with A Novel Style-guided Diversity Loss Design Related Papers Related Patents Related Grants Related Venues Related Experts View |
Tingting Li; Huan Zhao; Jing Huang; Keqin Li; | Knowl. Based Syst. | 2022-08-01 |
| 688 | AdaWCT: Adaptive Whitening and Coloring Style Injection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a generalization of AdaIN which relies on the whitening and coloring transformation (WCT) which we dub AdaWCT, that we apply for style injection in large GANs. |
ANTOINE DUFOUR et. al. | arxiv-cs.CV | 2022-08-01 |
| 689 | Computed Tomography Vertebral Segmentation from Multi-vendor Scanner Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic medical image segmentation is a crucial procedure for computer-assisted surgery (CAS). Especially, three-dimensional (3-D) reconstruction of medical images of the … |
Chaewoo Kim; Oguzcan Bekar; Hyunseok Seo; Sang-Min Park; Deukhee Lee; | J. Comput. Des. Eng. | 2022-07-29 |
| 690 | Image Data Augmentation Method Based on Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Because there aren’t enough accessible images of military vehicles, overfitting is a common occurrence when using a detection model in the military sector. Besides, low-contrast … |
Yanyan Wei; Chuwei Li; Hangyu Li; Zhilong Zhang; | Proceedings of the 2022 International Conference on Pattern … | 2022-07-29 |
| 691 | WISE: Whitebox Image Stylization By Example-based Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, adapting or extending these techniques to produce new styles is often a tedious and error-prone task that requires expert knowledge. We propose a new paradigm to alleviate this problem: implementing algorithmic image filtering techniques as differentiable operations that can learn parametrizations aligned to certain reference styles. |
WINFRIED LÖTZSCH et. al. | arxiv-cs.CV | 2022-07-29 |
| 692 | DCT-net: Domain-calibrated Translation for Portrait Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. |
Yifang Men; Yuan Yao; Miaomiao Cui; Zhouhui Lian; Xuansong Xie; | siggraph | 2022-07-28 |
| 693 | Domain Enhanced Arbitrary Image Style Transfer Via Contrastive Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we tackle the challenging problem of arbitrary image style transfer using a novel style feature representation learning method. |
YUXIN ZHANG et. al. | siggraph | 2022-07-28 |
| 694 | Photo-to-shape Material Transfer for Diverse Structures Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a method for assigning photorealistic relightable materials to 3D shapes in an automatic manner. |
Ruizhen Hu; Xiangyu Su; Xiangkai Chen; Oliver Van Kaick; Hui Huang; | siggraph | 2022-07-28 |
| 695 | SNeRF: Stylized Neural Implicit Representations for 3D Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a stylized novel view synthesis method. |
Thu Nguyen-Phuoc; Feng Liu; Lei Xiao; | siggraph | 2022-07-28 |
| 696 | Evaluating Perceptual Hashing Algorithms in Detecting Image Manipulation Over Social Media Platforms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Perceptual hash is a fingerprint of features of multimedia content. Compared with crypto hash, perceptual hash shows many advantages when defending against image-based fake news … |
Mohammed Alkhowaiter; Khalid Almubarak; C. Zou; | 2022 IEEE International Conference on Cyber Security and … | 2022-07-27 |
| 697 | Pseudo-3D Scene Modeling for Virtual Reality Using Stylized Novel View Synthesis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Stylized Novel View Synthesis is an emerging technique that combines style transfer and view synthesis. However, none of the existing works explore their applications in Virtual … |
Kuan-Wei Tseng; Jing-Yuan Huang; Yang-Shen Chen; Chu-Song Chen; Y. Hung; | ACM SIGGRAPH 2022 Posters | 2022-07-27 |
| 698 | SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the use of multi-conditional adversarial networks for SAR-to-EO image translation. |
Armando Cabrera; Miriam Cha; Prafull Sharma; Michael Newey; | arxiv-cs.CV | 2022-07-26 |
| 699 | ArtFID: Quantitative Evaluation of Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To support the automatic comparison of different style transfer approaches and to study their respective strengths and weaknesses, the field would greatly benefit from a quantitative measurement of stylization performance. Therefore, we propose a method to complement the currently mostly qualitative evaluation schemes. |
Matthias Wright; Björn Ommer; | arxiv-cs.CV | 2022-07-25 |
| 700 | PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses the computer algorithms to render a photo into an artistic painting. |
Jing Geng; Li’e Ma; Xiaoquan Li; Yijun Yan; | arxiv-cs.CV | 2022-07-25 |
| 701 | Learning Graph Neural Networks for Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study a novel semi-parametric neural style transfer framework that alleviates the deficiency of both parametric and non-parametric stylization. |
YONGCHENG JING et. al. | arxiv-cs.CV | 2022-07-24 |
| 702 | Generative Artisan: A Semantic-Aware and Controllable CLIPstyler Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although CLIPstyler can achieve good performance when landscapes or portraits appear alone, it can blur the people and lose the original semantics when people and landscapes coexist. Based on these issues, we demonstrate a novel framework that uses a pre-trained CLIP text-image embedding model and guides image style transfer through an FCN semantic segmentation network. |
Zhenling Yang; Huacheng Song; Qiunan Wu; | arxiv-cs.CV | 2022-07-23 |
| 703 | Arbitrary Style Transfer with Structure Enhancement By Combining The Global and Local Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As the result, the stylized images distribute style elements evenly throughout the image and make the overall image structure unrecognizable. To solve this problem, we introduce a novel arbitrary style transfer method with structure enhancement by combining the global and local loss. |
Lizhen Long; Chi-Man Pun; | arxiv-cs.CV | 2022-07-23 |
| 704 | CAM-Guided Spatially Denormalization for Lesion Weakly-Supervised Localization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic localization of lesion regions is helpful to assist doctors in the diagnosis and treatment of diseases. In this paper, we propose a weakly-supervised 2D lung lesion … |
Zhe Yan; Canghong Shi; Xiaojie Li; Baolei Xu; | 2022 5th International Conference on Data Science and … | 2022-07-22 |
| 705 | Learning Cooperative Neural Modules for Stylized Image Captioning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xinxiao Wu; Wentian Zhao; Jiebo Luo; | International Journal of Computer Vision | 2022-07-22 |
| 706 | Few-shot Image Generation Using Discrete Content Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we make the first attempt to adapt few-shot image translation method to few-shot image generation task. |
Yan Hong; Li Niu; Jianfu Zhang; Liqing Zhang; | arxiv-cs.CV | 2022-07-21 |
| 707 | GenText: Unsupervised Artistic Text Generation Via Decoupled Font and Texture Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing artistic text generation models usually focus on manipulating one aspect of the above components, which is a sub-optimal solution for controllable general artistic text generation. To remedy this issue, we propose a novel approach, namely GenText, to achieve general artistic text style transfer by separably migrating the font and texture styles from the different source images to the target images in an unsupervised manner. |
Qirui Huang; Bin Fu; Aozhong zhang; Yu Qiao; | arxiv-cs.CV | 2022-07-20 |
| 708 | 3DSTNet: Neural 3D Shape Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we propose a 3D style transfer framework, 3DSTNet, to transfer shape or geometric properties from style to content 3D objects. We analyze the effects of multiple … |
Abhinav Upadhyay; Alpana Dubey; Suma Mani Kuriakose; Devasish Mahato; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 709 | Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our contribution entails a crucial part of the process as it allows the customer to see the final product before buying. |
Tomas Cabezon Pedroso; Javier Del Ser; Natalia Diaz-Rodrıguez; | arxiv-cs.CV | 2022-07-18 |
| 710 | Unsupervised Multimodal Image-to-Image Translation: Generate What You Want Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised image-to-image translation is one of the most important research topics in the field of computer vision. Traditional unsupervised image-to-image translation methods … |
CHAO ZHANG et. al. | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 711 | Unpaired Motion Style Transfer with Motion-Oriented Projection Flow Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing motion style transfer methods trained with unpaired samples tend to generate motions with inconsistent content or inconsistent number of frames when compared with the … |
Yue Huang; Haoran Mo; Xiao Liang; Chengying Gao; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 712 | NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nuclei segmentation is valuable in histopathological image analysis, but labeling nuclei is costly. Different organs, pa-tients and diseases will lead to high variability in the … |
Xianlai Chen; Xuantong Zhong; Taixiang Li; Ying An; L. Mo; | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 713 | DunhuangGAN: A Generative Adversarial Network for Dunhuang Mural Art Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer has been successfully applied to various visual art creation tasks. However, due to the inherent style of Dunhuang mural art, existing methods can not produce … |
Weining Wang; Yifan Li; Huan-Jun Ye; Fenghua Ye; Xiangmin Xu; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 714 | Unsupervised Image-to-Image Translation with Patch Pyramid Dual Contrastive Learning for Cross Domain Object Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised image-to-image (UI2I) translation methods aim to learn a mapping between different visual domains with well-preserved content and consistent structure. It has been … |
Yunlong Meng; Lifan Zhao; Lin Xu; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 715 | Lightweight Generative Adversarial Networks Based on Ghost Module Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks are widely used in computer vision tasks like image translation and image style transfer. Most of mainstream methods including CycleGAN and pix2pix … |
Xinyuan Xiang; Meiqin Liu; Senlin Zhang; Ping Wei; Badong Chen; | 2022 IEEE International Conference on Real-time Computing … | 2022-07-17 |
| 716 | Experiments on Anomaly Detection in Autonomous Driving By Forward-Backward Style Transfers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Especially inspired by works on anomaly detection based on image resynthesis, we propose a novel approach for anomaly detection through style transfer. |
Daniel Bogdoll; Meng Zhang; Maximilian Nitsche; J. Marius Zöllner; | arxiv-cs.CV | 2022-07-13 |
| 717 | DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a dynamic sparse attention based Transformer model, termed Dynamic Sparse Transformer (DynaST), to achieve fine-level matching with favorable efficiency. |
Songhua Liu; Jingwen Ye; Sucheng Ren; Xinchao Wang; | arxiv-cs.CV | 2022-07-13 |
| 718 | Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel method for uni-directional domain mapping that does not rely on any paired training data. |
Christoph Angermann; Markus Haltmeier; Ahsan Raza Siyal; | arxiv-cs.CV | 2022-07-09 |
| 719 | StyleFlow For Content-Fixed Image to Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve content-preserving transfer in strongly constrained and normally constrained tasks, we propose StyleFlow, a new I2I translation model that consists of normalizing flows and a novel Style-Aware Normalization (SAN) module. |
Weichen Fan; Jinghuan Chen; Jiabin Ma; Jun Hou; Shuai Yi; | arxiv-cs.CV | 2022-07-05 |
| 720 | Harmonizer: Learning to Perform White-Box Image and Video Harmonization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we observe that adjusting the input arguments of basic image filters, e.g., brightness and contrast, is sufficient for humans to produce realistic images from the composite ones. |
Zhanghan Ke; Chunyi Sun; Lei Zhu; Ke Xu; Rynson W. H. Lau; | arxiv-cs.CV | 2022-07-04 |
| 721 | NARRATE: A Normal Assisted Free-View Portrait Stylizer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose NARRATE, a novel pipeline that enables simultaneously editing portrait lighting and perspective in a photorealistic manner. |
YOUJIA WANG et. al. | arxiv-cs.CV | 2022-07-03 |
| 722 | Image Translation Based Synthetic Data Generation for Industrial Object Detection and Pose Estimation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning-based methods have shown excellent potential on object detection and pose estimation with vast amounts of training data to achieve good performance. Obtaining enough … |
Xu Yang; X. Fan; Jinge Wang; K. Lee; | IEEE Robotics and Automation Letters | 2022-07-01 |
| 723 | Real-Time Portrait Stylization on The Edge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we demonstrate real-time portrait stylization, specifically, translating self-portrait into cartoon or anime style on mobile devices. |
YANYU LI et. al. | ijcai | 2022-07-01 |
| 724 | Unsupervised Misaligned Infrared and Visible Image Fusion Via Cross-Modality Image Generation and Registration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the obstacles, in this paper, we present a robust cross-modality generation-registration paradigm for unsupervised misaligned infrared and visible image fusion (IVIF). |
Di Wang; Jinyuan Liu; Xin Fan; Risheng Liu; | ijcai | 2022-07-01 |
| 725 | StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach for generating styled drawings for a given text description where a user can specify a desired drawing style using a sample image. |
Peter Schaldenbrand; Zhixuan Liu; Jean Oh; | ijcai | 2022-07-01 |
| 726 | LDA-GAN: Lightweight Domain-attention GAN for Unpaired Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jin Zhao; Feifei Lee; Chunyan Hu; Hongliu Yu; Qiu Chen; | Neurocomputing | 2022-07-01 |
| 727 | ACGAN: Attribute Controllable Person Image Synthesis GAN for Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shaoyue Lin; Yanjun Zhang; | J. Vis. Commun. Image Represent. | 2022-07-01 |
| 728 | SNeRF IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a stylized novel view synthesis method. Applying state-of-the-art stylization methods to novel views frame by frame often causes jittering artifacts due to the … |
Thu Nguyen-Phuoc; Feng Liu; Lei Xiao; | ACM Transactions on Graphics (TOG) | 2022-07-01 |
| 729 | Noise and Edge Based Dual Branch Image Manipulation Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, the noise image extracted by the improved constrained convolution is used as the input of the model instead of the original image to obtain more subtle traces of manipulation. |
Zhongyuan Zhang; Yi Qian; Yanxiang Zhao; Lin Zhu; Jinjin Wang; | arxiv-cs.CV | 2022-07-01 |
| 730 | DCT-net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (~100), the new architecture can produce … |
Yifang Men; Yuan Yao; Miaomiao Cui; Z. Lian; Xuansong Xie; | ACM Transactions on Graphics (TOG) | 2022-07-01 |
| 731 | Universal Video Style Transfer Via Crystallization, Separation, and Blending IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, how to maintain the temporal consistency of videos while achieving high-quality arbitrary style transfer is still a hard nut to crack. To resolve this dilemma, in this paper, we propose the CSBNet which involves three key modules: 1) the Crystallization (Cr) Module that generates several orthogonal crystal nuclei, representing hierarchical stability-aware content and style components, from raw VGG features; 2) the Separation (Sp) Module that separates these crystal nuclei to generate the stability-enhanced content and style features; 3) the Blending (Bd) Module to cross-blend these stability-enhanced content and style features, producing more stable and higher-quality stylized videos. |
Haofei Lu; Zhizhong Wang; | ijcai | 2022-07-01 |
| 732 | Style-woven Attention Network for Zero-shot Ink Wash Painting Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traditional Chinese painting is a unique form of artistic expression. Compared with western art painting, it pays more attention to the verve in visual effect, especially ink … |
Haochen Sun; L. Wu; Xiang Li; Xiangxu Meng; | Proceedings of the 2022 International Conference on … | 2022-06-27 |
| 733 | Neural Neural Textures Make Sim2Real Consistent Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new approach that combines differentiable rendering with image translation to achieve temporal consistency over indefinite timescales, using surface consistency losses and \emph{neural neural textures}. |
Ryan Burgert; Jinghuan Shang; Xiang Li; Michael Ryoo; | arxiv-cs.CV | 2022-06-27 |
| 734 | View-consistent 4D Light Field Style Transfer Using Neural Networks and Over-segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has shown promising results in several computer vision applications, such as style transfer applications. Style transfer aims at generating a new image by combining … |
Maryam Hamad; Caroline Conti; P. Nunes; Luís Ducla Soares; | 2022 IEEE 14th Image, Video, and Multidimensional Signal … | 2022-06-26 |
| 735 | Non-Parametric Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we extend the second-order statistical feature matching into a general distribution matching based on the understanding that style of an image is represented by the distribution of responses from receptive fields. |
Jeong-Sik Lee; Hyun-Chul Choi; | arxiv-cs.CV | 2022-06-26 |
| 736 | An Unsupervised Heterogeneous Change Detection Method Based on Image Translation Network and Post-processing Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The change detection (CD) of heterogeneous remote sensing images is an important but challenging task. The difficulty is to obtain the change information by directly comparing the … |
Decheng Wang; F. Zhao; H. Yi; Yinan Li; Xiangning Chen; | International Journal of Digital Earth | 2022-06-22 |
| 737 | Review Neural Networks About Image Transformation Based on IGC Learning Framework with Annotated Information Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel learning framework including Independent learning, Guided learning, and Cooperative learning, called the IGC learning framework. |
Yuanjie Yan; Suorong Yang; Yan Wang; Jian Zhao; Furao Shen; | arxiv-cs.CV | 2022-06-21 |
| 738 | Studying The Role of Named Entities for Content Preservation in Text Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Besides, we perform an error analysis of a pre-trained formality transfer model and introduce a simple technique to use information about named entities to enhance the performance of baseline content similarity measures used in text style transfer. |
Nikolay Babakov; David Dale; Varvara Logacheva; Irina Krotova; Alexander Panchenko; | arxiv-cs.CL | 2022-06-20 |
| 739 | ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a result, in this work, we tackle a more challenging UDA task when there are only a few (fewshot) or a single (oneshot) image available from the target domain. |
MINGXUAN GU et. al. | arxiv-cs.CV | 2022-06-08 |
| 740 | Geometry-Aware Eye Image-To-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, image-to-image translation (I2I) has met with great success in computer vision, but few works have paid attention to the geometric changes that occur during translation. … |
CONNY LU et. al. | 2022 Symposium on Eye Tracking Research and Applications | 2022-06-08 |
| 741 | Artistic Style Discovery With Independent Components IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In particular, we take a closer look into the mechanism of style transfer and obtain different artistic style components from the latent space consisting of different style features. |
XIN XIE et. al. | cvpr | 2022-06-07 |
| 742 | Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a generative adversarial network that can simultaneously generate aligned image samples from multiple related domains. |
Seung Wook Kim; Karsten Kreis; Daiqing Li; Antonio Torralba; Sanja Fidler; | cvpr | 2022-06-07 |
| 743 | InOut: Diverse Image Outpainting Via GAN Inversion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we formulate the problem from the perspective of inverting generative adversarial networks. |
YEN-CHI CHENG et. al. | cvpr | 2022-06-07 |
| 744 | Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore more challenging exemplar-based high-resolution portrait style transfer by introducing a novel DualStyleGAN with flexible control of dual styles of the original face domain and the extended artistic portrait domain. |
Shuai Yang; Liming Jiang; Ziwei Liu; Chen Change Loy; | cvpr | 2022-06-07 |
| 745 | Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we, for the first time to our best knowledge, propose to perform Exact Feature Distribution Matching (EFDM) by exactly matching the empirical Cumulative Distribution Functions (eCDFs) of image features, which could be implemented by applying the Exact Histogram Matching (EHM) in the image feature space. |
Yabin Zhang; Minghan Li; Ruihuang Li; Kui Jia; Lei Zhang; | cvpr | 2022-06-07 |
| 746 | SpaceEdit: Learning A Unified Editing Space for Open-Domain Image Color Editing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) show great knowledge transfer and generalization capability on various downstream tasks within their domains. Inspired by these efforts, in this paper we propose a unified model for open-domain image editing focusing on color and tone adjustment of open-domain images while keeping their original content and structure. |
JING SHI et. al. | cvpr | 2022-06-07 |
| 747 | Proactive Image Manipulation Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By contrast, we propose a proactive scheme to image manipulation detection. |
Vishal Asnani; Xi Yin; Tal Hassner; Sijia Liu; Xiaoming Liu; | cvpr | 2022-06-07 |
| 748 | Self-Supervised Dense Consistency Regularization for Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a simple but effective regularization technique for improving GAN-based image-to-image translation. |
MINSU KO et. al. | cvpr | 2022-06-07 |
| 749 | StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF Via 2D-3D Mutual Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there is a significant domain gap between style examples which are 2D images and NeRF which is an implicit volumetric representation. To address this problem, we propose a novel mutual learning framework for 3D scene stylization that combines a 2D image stylization network and NeRF to fuse the stylization ability of 2D stylization network with the 3D consistency of NeRF. |
Yi-Hua Huang; Yue He; Yu-Jie Yuan; Yu-Kun Lai; Lin Gao; | cvpr | 2022-06-07 |
| 750 | PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce PCA-based knowledge distillation to distill lightweight models and show it is motivated by theory. |
Tai-Yin Chiu; Danna Gurari; | cvpr | 2022-06-07 |
| 751 | Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a universal regularization technique called maximum spatial perturbation consistency (MSPC), which enforces a spatial perturbation function (T) and the translation operator (G) to be commutative (i.e., T \circ G = G \circ T ). |
YANWU XU et. al. | cvpr | 2022-06-07 |
| 752 | StyTr2: Image Style Transfer With Transformers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, traditional neural style transfer methods face biased content representation. To address this critical issue, we take long-range dependencies of input images into account for image style transfer by proposing a transformer-based approach called StyTr^2. |
YINGYING DENG et. al. | cvpr | 2022-06-07 |
| 753 | SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although this setup simplifies data preparation and model design, it complicates user interaction and discards useful information in masked regions. To this end, we propose a new framework for sketch-based image manipulation that only requires sketch inputs from users and utilizes the entire original image. |
Yu Zeng; Zhe Lin; Vishal M. Patel; | cvpr | 2022-06-07 |
| 754 | Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we present a colorization network that generates flat-color icons according to given sketches and semantic colorization styles. |
Yuan-kui Li; Yun-Hsuan Lien; Yu-Shuen Wang; | cvpr | 2022-06-07 |
| 755 | Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel style transfer method to quickly create a new visual product with a nice appearance for industrial designers’ reference. |
Jinchao Yang; Fei Guo; Shuo Chen; Jun Li; Jian Yang; | cvpr | 2022-06-07 |
| 756 | StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We apply style transfer on mesh reconstructions of indoor scenes. |
Lukas Höllein; Justin Johnson; Matthias Nießner; | cvpr | 2022-06-07 |
| 757 | Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the methods often ignore the diverse semantic relation within the images. To address this, here we propose a novel semantic relation consistency (SRC) regularization along with the decoupled contrastive learning (DCL), which utilize the diverse semantics by focusing on the heterogeneous semantics between the image patches of a single image. |
Chanyong Jung; Gihyun Kwon; Jong Chul Ye; | cvpr | 2022-06-07 |
| 758 | 3D Photo Stylization: Learning To Generate Stylized Novel Views From A Single Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we make a connection between the two, and address the challenging task of 3D photo stylization – generating stylized novel views from a single image given an arbitrary style. |
Fangzhou Mu; Jian Wang; Yicheng Wu; Yin Li; | cvpr | 2022-06-07 |
| 759 | InstaFormer: Instance-Aware Image-to-Image Translation With Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel Transformer-based network architecture for instance-aware image-to-image translation, dubbed InstaFormer, to effectively integrate global- and instance-level information. |
Soohyun Kim; Jongbeom Baek; Jihye Park; Gyeongnyeon Kim; Seungryong Kim; | cvpr | 2022-06-07 |
| 760 | Few-Shot Incremental Learning for Label-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a few-shot incremental learning method for label-to-image translation. |
Pei Chen; Yangkang Zhang; Zejian Li; Lingyun Sun; | cvpr | 2022-06-07 |
| 761 | A Style-Aware Discriminator for Controllable Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This limitation largely arises because labels do not consider the semantic distance. To mitigate such problems, we propose a style-aware discriminator that acts as a critic as well as a style encoder to provide conditions. |
Kunhee Kim; Sanghun Park; Eunyeong Jeon; Taehun Kim; Daijin Kim; | cvpr | 2022-06-07 |
| 762 | CLIPstyler: Image Style Transfer With A Single Text Condition IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, in many practical situations, users may not have reference style images but still be interested in transferring styles by just imagining them. In order to deal with such applications, we propose a new framework that enables a style transfer ‘without’ a style image, but only with a text description of the desired style. |
Gihyun Kwon; Jong Chul Ye; | cvpr | 2022-06-07 |
| 763 | Style-ERD: Responsive and Coherent Online Motion Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, for online animation applications, such as real-time avatar animation from motion capture, motions need to be processed as a stream with minimal latency. In this work, we realize a flexible, high-quality motion style transfer method for this setting. |
Tianxin Tao; Xiaohang Zhan; Zhongquan Chen; Michiel van de Panne; | cvpr | 2022-06-07 |
| 764 | Dual Attention Mechanism Based Outline Loss for Image Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View |
Pengqi Tu; N. Sang; | Neural Processing Letters | 2022-06-06 |
| 765 | SSTRN: Semantic Style Transfer Reference Network for Face Super-Resolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reference super-resolution (RefSR) has achieved promising results in the single image super-resolution (SISR) field by providing additional details from the reference images. … |
Saghar Farhangfar; A. Baradarani; M. Balafar; Mohammad Asadpour; | 2022 29th International Conference on Systems, Signals and … | 2022-06-01 |
| 766 | Artistic Style Novel View Synthesis Based on A Single Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent progress in 3D display technologies has raised the demand for stylized 3D digital content. Previous approaches either perform style transfer on stereoscopic image pairs or … |
Kuan-Wei Tseng; Yao Lee; Chu-Song Chen; | 2022 IEEE/CVF Conference on Computer Vision and Pattern … | 2022-06-01 |
| 767 | A Tool to Facilitate The Cross-Cultural Design Process Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cross-cultural design requires designers to understand other foreign cultures, selecting suitable cultural elements, and finally incorporate them into product design. … |
LEIJING ZHOU et. al. | IEEE Transactions on Human-Machine Systems | 2022-06-01 |
| 768 | Data Augmentation Techniques For Expanding The Dataset In The Task Of Image Processing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper we’ve analyzed and elaborated the main problem within the field of Machine Learning (ML) which is the lack of data used for model training also referred to as data … |
Blerina Rrmoku; Besnik Qehaja; | 2022 29th International Conference on Systems, Signals and … | 2022-06-01 |
| 769 | Variational Transfer Learning Using Cross-Domain Latent Modulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to introduce a novel cross-domain latent modulation mechanism to a variational autoencoder framework so as to achieve effective transfer learning. |
Jinyong Hou; Jeremiah D. Deng; Stephen Cranefield; Xuejie Din; | arxiv-cs.LG | 2022-05-30 |
| 770 | Unpaired Image-to-image Translation with Improved Two-dimensional Feature IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hangyao Tu; Wanliang Wang; Jiachen Chen; Fei Wu; Guoqing Li; | Multimedia Tools and Applications | 2022-05-30 |
| 771 | Transfer Learning of Deep Neural Network Human Pose Estimator By Domain-Specific Data for Video Motion Capturing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, we construct sport-specific datasets with keypoint and bounding box annotations, and present a transfer learning approach for a 2D pose estimation using the … |
Natsu Ooke; Y. Ikegami; Ko Yamamoto; Yoshihiko Nakamura; | 2022 IEEE International Conference on Advanced Robotics and … | 2022-05-28 |
| 772 | Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we present a novel approach for enhanced image reconstruction, in which existing methods for object decoding and image reconstruction are merged together. |
Mali Halac; Murat Isik; Hasan Ayaz; Anup Das; | arxiv-cs.CV | 2022-05-27 |
| 773 | Pretraining Is All You Need for Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we regard each image-to-image translation problem as a downstream task and introduce a simple and generic framework that adapts a pretrained diffusion model to accommodate various kinds of image-to-image translation. |
TENGFEI WANG et. al. | arxiv-cs.CV | 2022-05-25 |
| 774 | Region-aware Knowledge Distillation for Efficient Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Region-aware Knowledge Distillation ReKo to compress image-to-image translation models. |
Linfeng Zhang; Xin Chen; Runpei Dong; Kaisheng Ma; | arxiv-cs.CV | 2022-05-24 |
| 775 | Improving The Latent Space of Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, the lack of content details in the features extracted by the pre-trained encoder also leads to the content leak problem. In order to solve these issues in the latent space used by style transfer, we propose two contrastive training schemes to get a refined encoder that is more suitable for this task. |
Yunpeng Bai; Cairong Wang; Chun Yuan; Yanbo Fan; Jue Wang; | arxiv-cs.CV | 2022-05-24 |
| 776 | Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While this operation may cause a deficiency of critical information from contexts. To tackle this limitation, we propose a novel strategy to alleviate the domain gap imbalance considering the characteristics of medical images, namely Global-Local Union Alignment. |
ZIXIAN SU et. al. | arxiv-cs.CV | 2022-05-24 |
| 777 | Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: And the second is that the training of GAN is unstable and slow to converge, such as model collapse. Based on the above two problems, we propose several methods to solve them. |
Jianhan Wu; Shijing Si; Jianzong Wang; Jing Xiao; | arxiv-cs.CV | 2022-05-24 |
| 778 | Underwater Dock Detection Through Convolutional Neural Networks Trained with Artificial Image Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous Underwater Vehicles (AUVs) are a vital element for ocean exploration in various applications; however, energy sustainability still limits long-term operations. An … |
Jalil Chavez-Galaviz; N. Mahmoudian; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
| 779 | Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it remains challenging for existing methods to address advanced conditional generative problems without annotations, which can enable multiple applications like image-to-image translation and image editing. We present a unified Bayesian framework for such problems, which introduces an inference stage on latent variables within the learning process. |
Y. Li; S. Mazuelas; Y. Shen; | icassp | 2022-05-22 |
| 780 | Wavelet-Based Unsupervised Label-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: State-of-the-art conditional Generative Adversarial Networks (GANs) need a huge amount of paired data to accomplish this task while generic un-paired image-to-image translation frameworks underperform in comparison, because they color-code semantic layouts and learn correspondences in appearance instead of semantic content. Starting from the assumption that a high quality generated image should be segmented back to its semantic layout, we propose a new Unsupervised paradigm for SIS (USIS) that makes use of a self-supervised segmentation loss and whole image wavelet based discrimination. |
G. Eskandar; M. Abdelsamad; K. Armanious; S. Zhang; B. Yang; | icassp | 2022-05-22 |
| 781 | Multi-Domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite the impressive results, they mainly focus on the I2I translation between two domains, so the multi-domain I2I translation still remains a challenge. To address this problem, we propose a novel multi-domain unsupervised image-to-image translation (MDUIT) framework that leverages the decomposed content feature and appearance adaptive convolution to translate an image into a target appearance while preserving the given geometric content. |
S. Jeong; J. Lee; K. Sohn; | icassp | 2022-05-22 |
| 782 | Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel generative adversarial network to improve the performance of image manipulation using natural language descriptions that contain desired attributes. |
Y. Watanabe; R. Togo; K. Maeda; T. Ogawa; M. Haseyama; | icassp | 2022-05-22 |
| 783 | Towards Using Clothes Style Transfer for Scenario-Aware Person Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further improve the generation performance, we propose a novel framework with disentangled multi-branch encoders and a shared decoder. |
J. Xu; et al. | icassp | 2022-05-22 |
| 784 | Parameter-Free Style Projection for Arbitrary Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing feature transformation algorithms often suffer from loss of content or style details, non-natural stroke patterns, and unstable training. To mitigate these issues, this paper proposes a new feature-level style transformation technique, named Style Projection, for parameter-free, fast, and effective content-style transformation. |
S. Huang; et al. | icassp | 2022-05-22 |
| 785 | AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines By Linking Keypoints IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a self-supervised method that learns to disentangle object structure from the appearance with a graph of 2D keypoints linked by straight edges. |
Xingzhe He; Bastian Wandt; Helge Rhodin; | arxiv-cs.CV | 2022-05-21 |
| 786 | Exploiting Social Media Content for Self-Supervised Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we present a novel Self-Supervised Style Transfer (3ST) model, which augments SSNMT with UNMT methods in order to identify and efficiently exploit supervisory signals in non-parallel social media posts. |
Dana Ruiter; Thomas Kleinbauer; Cristina España-Bonet; Josef van Genabith; Dietrich Klakow; | arxiv-cs.CL | 2022-05-18 |
| 787 | Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we study a relevant low-resource setting: style transfer for languages where no style-labelled corpora are available. |
Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar; | acl | 2022-05-17 |
| 788 | A Recipe for Arbitrary Text Style Transfer with Large Language Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we leverage large language models (LLMs) to perform zero-shot text style transfer. |
EMILY REIF et. al. | acl | 2022-05-17 |
| 789 | Infrared-to-Optical Image Translation for Keypoint-Based Image Registration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality … |
Mohamed Elsaeidy; Muhammed Emin Erkol; B. K. Güntürk; H. Ateş; | 2022 30th Signal Processing and Communications Applications … | 2022-05-15 |
| 790 | Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel approach that combines signals of image quality between paired source and transformation to predict the latter’s similarity with a hypothetical ground truth. |
Stefan Borasinski; Esin Yavuz; Sébastien Béhuret; | arxiv-cs.CV | 2022-05-09 |
| 791 | WeatherGAN: Unsupervised Multi-weather Image-to-image Translation Via Single Content-preserving UResNet Generator Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sunhee Hwang; Seogkyu Jeon; Yuhui Ma; H. Byun; | Multimedia Tools and Applications | 2022-05-07 |
| 792 | Text to Artistic Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Painting is one of the ways for people to express their ideas, but what if people with disabilities in hands want to paint? To tackle this challenge, we create an end-to-end solution that can generate artistic images from text descriptions. |
Qinghe Tian; Jean-Claude Franchitti; | arxiv-cs.CV | 2022-05-05 |
| 793 | Generate and Edit Your Own Character in A Canonical View Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel and unified framework which generates stylized portraits in canonical view. |
Jeong-gi Kwak; Yuanming Li; Dongsik Yoon; David Han; Hanseok Ko; | arxiv-cs.CV | 2022-05-05 |
| 794 | Disentangling Latent Space Better for Few-shot Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
PENG LIU et. al. | International Journal of Machine Learning and Cybernetics | 2022-05-04 |
| 795 | Diverse Image Captioning with Grounded Style Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Stylized image captioning as presented in prior work aims to generate captions that reflect characteristics beyond a factual description of the scene composition, such as … |
Franz Klein; Shweta Mahajan; Stefan Roth; | arxiv-cs.CV | 2022-05-03 |
| 796 | Research and Application of Image Style Transfer Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style transfer is a technology that uses specific algorithms in deep learning to separate image content and style. It combines the style of one image with the content of … |
Luoyifan Zhong; N. Li; Yi Sun; | 2022 IEEE 8th Intl Conference on Big Data Security on Cloud … | 2022-05-01 |
| 797 | Zero-shot Unsupervised Image-to-image Translation Via Exploiting Semantic Attributes Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuanqi Chen; Xiaoming Yu; Shan Liu; Wei Gao; Ge Li; | Image Vis. Comput. | 2022-05-01 |
| 798 | Segmentation Mask and Feature Similarity Loss Guided GAN for Object-oriented Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHEN QIN et. al. | Inf. Process. Manag. | 2022-05-01 |
| 799 | An Overview of Color Transfer and Style Transfer for Images and Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given a source image (video) and a target image (video), the image (video) color transfer technique aims to process the color of the source image or video (note that the source image or video is also referred to the reference image or video in some literature) to make it look like that of the target image or video, i.e., transferring the appearance of the target image or video to that of the source image or video, which can thereby change one’s perception of the source image or video. |
Shiguang Liu; | arxiv-cs.CV | 2022-04-28 |
| 800 | ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel two-stage framework for improving domain adaptation techniques on image data. |
Shahaf Ettedgui; Shady Abu-Hussein; Raja Giryes; | arxiv-cs.CV | 2022-04-25 |
| 801 | Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike previous CL approaches that use negatives as much as possible, in this paper, we study the negatives from an information-theoretic perspective and introduce a new negative Pruning technology for Unpaired image-to-image Translation (PUT) by sparsifying and ranking the patches. |
YUPEI LIN et. al. | arxiv-cs.CV | 2022-04-23 |
| 802 | Improving CycleGAN for Image-to-Image Style Transfer By DenseNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous progress and development of machine learning, deep learning has become a hot research field today. Among them, image-to-image style transfer is one of the … |
Haoyang Wang; Xiangqun Lu; Fang Deng; | 2022 7th International Conference on Computer and … | 2022-04-22 |
| 803 | SE-GAN: Skeleton Enhanced GAN-based Model for Brush Handwriting Font Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: There is rare research on brush handwriting font generation, which involves holistic structure changes and complex strokes transfer. To address this issue, we propose a novel GAN-based image translation model by integrating the skeleton information. |
SHAOZU YUAN et. al. | arxiv-cs.CV | 2022-04-21 |
| 804 | ChildPredictor: A Child Face Prediction Framework with Disentangled Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to obtain accurate genetic factors and perform the mapping, we propose a ChildPredictor framework. |
YUZHI ZHAO et. al. | arxiv-cs.CV | 2022-04-21 |
| 805 | Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike traditional image degradation models (IDM), such as rain removal and superresolution, this study addresses a new IDM referred to as a scale-aware heavy rain model and proposes a method for restoring high-resolution face images (HR-FIs) from low-resolution heavy rain face images (LRHR-FI). |
Chang-Hwan Son; Da-Hee Jeong; | arxiv-cs.CV | 2022-04-18 |
| 806 | Non-Parallel Text Style Transfer with Self-Parallel Supervision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose LaMer, a novel text style transfer framework based on large-scale language models. |
Ruibo Liu; Chongyang Gao; Chenyan Jia; Guangxuan Xu; Soroush Vosoughi; | arxiv-cs.CL | 2022-04-17 |
| 807 | Real-time Style Transfer with Efficient Vision Transformers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style Transfer aims at transferring the artistic style from a reference image to a content image. While Deep Learning (DL) has achieved state-of-the-art Style Transfer performance … |
Hadjer Benmeziane; Hamza Ouarnoughi; K. E. Maghraoui; S. Niar; | Proceedings of the 5th International Workshop on Edge … | 2022-04-05 |
| 808 | Direct Dense Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We therefore propose a novel alternative method for solving the dense pose estimation problem, called Direct Dense Pose (DDP). |
Liqian Ma; Lingjie Liu; Christian Theobalt; Luc Van Gool; | arxiv-cs.CV | 2022-04-04 |
| 809 | Flexible Portrait Image Editing with Fine-Grained Control Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a new method for portrait image editing, which supports fine-grained editing of geometries, colors, lights and shadows using a single neural network model. |
Linlin Liu; Qian Fu; Fei Hou; Ying He; | arxiv-cs.CV | 2022-04-04 |
| 810 | Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a spatially-adaptive semantic alignment framework with perceptual motion consistency for coherent video cartoonization in an unsupervised manner. |
ZHENHUAN LIU et. al. | arxiv-cs.CV | 2022-04-02 |
| 811 | IR-GAN: Image Manipulation with Linguistic Instruction By Increment Reasoning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, traditional conditional image generation models mainly focus on generating high-quality and visually realistic images, and lack resolving the partial consistency between image and instruction. To address this issue, we propose an Increment Reasoning Generative Adversarial Network (IR-GAN), which aims to reason the consistency between visual increment in images and semantic increment in instructions. |
ZHENHUAN LIU et. al. | arxiv-cs.CV | 2022-04-02 |
| 812 | Circular LBP Prior-Based Enhanced GAN for Image Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style transfer (IST) has drawn broad attention recently. At present, convolutional neural network (CNN)-based methods and generative adversarial network (GAN)-based methods … |
Wenguang Qian; Hua Li; Haiping Mu; | Int. J. Semantic Web Inf. Syst. | 2022-04-01 |
| 813 | Treatment Learning Transformer for Noisy Image Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we incorporate this binary information of existence of noise as treatment into image classification tasks to improve prediction accuracy by jointly estimating their treatment effects. |
Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen; | arxiv-cs.CV | 2022-03-29 |
| 814 | Semi-Supervised Image-to-Image Translation Using Latent Space Mapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We therefore introduce a general framework for semi-supervised image translation. |
Pan Zhang; Jianmin Bao; Ting Zhang; Dong Chen; Fang Wen; | arxiv-cs.CV | 2022-03-29 |
| 815 | ITTR: Unpaired Image-to-Image Translation with Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an effective and efficient architecture for unpaired Image-to-Image Translation with Transformers (ITTR). |
Wanfeng Zheng; Qiang Li; Guoxin Zhang; Pengfei Wan; Zhongyuan Wang; | arxiv-cs.CV | 2022-03-29 |
| 816 | StyleFool: Fooling Video Classification Systems Via Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on unrestricted perturbations and propose StyleFool, a black-box video adversarial attack via style transfer to fool the video classification system. |
YUXIN CAO et. al. | arxiv-cs.CV | 2022-03-29 |
| 817 | Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the shortage of experienced endoscopists, Computer-Aided Diagnosis (CAD) systems for colonoscopy have recently attracted many research interests. There exist several public … |
TA DUC HUY et. al. | 2022 IEEE 19th International Symposium on Biomedical … | 2022-03-28 |
| 818 | Playing Lottery Tickets in Style Transfer Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, the lottery ticket hypothesis (LTH) has shown great potential in finding extremely sparse matching subnetworks which can achieve on par or even better performance than the original full networks when trained in isolation. In this work, we for the first time perform an empirical study to verify whether such trainable matching subnetworks also exist in style transfer models. |
MEIHAO KONG et. al. | arxiv-cs.CV | 2022-03-25 |
| 819 | Interactive Style Transfer: All Is Your Palette Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To mitigate this limitation, we propose a drawing-like interactive style transfer (IST) method, by which users can interactively create a harmonious-style image. |
Zheng Lin; Zhao Zhang; Kang-Rui Zhang; Bo Ren; Ming-Ming Cheng; | arxiv-cs.CV | 2022-03-25 |
| 820 | 3D GAN Inversion for Controllable Portrait Image Animation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we leverage newly developed 3D GANs, which allow explicit control over the pose of the image subject with multi-view consistency. |
Connor Z. Lin; David B. Lindell; Eric R. Chan; Gordon Wetzstein; | arxiv-cs.CV | 2022-03-25 |
| 821 | Neural Neighbor Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers state-of-the-art quality, generalization, and competitive efficiency for artistic style transfer. |
NICHOLAS KOLKIN et. al. | arxiv-cs.CV | 2022-03-24 |
| 822 | Deepfake Style Transfer Mixture: A First Forensic Ballistics Study on Synthetic Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this aim, in this paper a first approach to investigate the image ballistics on deepfake images subject to style-transfer manipulations is proposed. |
Luca Guarnera; Oliver Giudice; Sebastiano Battiato; | arxiv-cs.CV | 2022-03-18 |
| 823 | Beyond A Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we rethink the VFI problem and formulate it as a continuous image transition (CIT) task, whose key issue is to transition an image from one space to another space continuously. |
Tao Yang; Peiran Ren; Xuansong Xie; Xiansheng Hua; Lei Zhang; | arxiv-cs.CV | 2022-03-18 |
| 824 | Depth-aware Neural Style Transfer Using Instance Normalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our approach uses a deep residual convolutional network with instance normalization layers that utilizes an advanced depth prediction network to integrate depth preservation as an additional loss function to content and style. |
Eleftherios Ioannou; Steve Maddock; | arxiv-cs.CV | 2022-03-17 |
| 825 | CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose CtlGAN, a new few-shot artistic portraits generation model with a novel contrastive transfer learning strategy. |
YUE WANG et. al. | arxiv-cs.CV | 2022-03-16 |
| 826 | Hiding Message Using A Cycle Generative Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Training an image steganography is an unsupervised problem, because it is impossible to obtain an ideal supervised steganographic image corresponding to the cover image and secret … |
Wuzhen Shi; Shaohui Liu; | ACM Transactions on Multimedia Computing, Communications … | 2022-03-12 |
| 827 | Image Style Transfer: from Artistic to Photorealistic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this review, we reviewed the development of photorealistic style transfer starting from artistic style transfer and the contribution of traditional image processing techniques on photorealistic style transfer, including some work that had been completed in the Multimedia lab at the University of Alberta. |
Chenggui Sun; Li Bin Song; | arxiv-cs.CV | 2022-03-11 |
| 828 | Membership Privacy Protection for Image Translation Models Via Adversarial Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose adversarial knowledge distillation (AKD) as a defense method against MIAs for image-to-image translation models. |
Saeed Ranjbar Alvar; Lanjun Wang; Jian Pei; Yong Zhang; | arxiv-cs.CV | 2022-03-10 |
| 829 | Person Re-Identification Combined with Style Transfer and Pose Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The number of existing person re-identification datasets is limited, and there are a series of changes such as illumination, background occlusion and pose among each dataset, … |
Yan Hui; Yingyu Liang; Xiuhua Hu; Xi Wu; Hua Liu; | Int. J. Pattern Recognit. Artif. Intell. | 2022-03-09 |
| 830 | Image Steganography Based on Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To improve upon this, we propose image steganography network based on style transfer, and the embedding of secret messages can be disguised as image stylization. |
Donghui Hu; Yu Zhang; Cong Yu; Jian Wang; Yaofei Wang; | arxiv-cs.CV | 2022-03-08 |
| 831 | Multi-granularity Brushstrokes Network for Universal Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer has been developed in recent years, where both performance and efficiency have been greatly improved. However, most existing methods do not transfer the … |
Quan Wang; Sheng Li; Xinpeng Zhang; Guorui Feng; | ACM Transactions on Multimedia Computing, Communications, … | 2022-03-04 |
| 832 | Sim2Real Instance-Level Style Transfer for 6D Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve this problem, we introduce a simulation to reality (sim2real) instance-level style transfer for 6D pose estimation network training. |
TAKUYA IKEDA et. al. | arxiv-cs.CV | 2022-03-03 |
| 833 | PetsGAN: Rethinking Priors for Single Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The main contributions of this paper include: 1) We introduce to SIG a regularized latent variable model. |
ZICHENG ZHANG et. al. | arxiv-cs.CV | 2022-03-02 |
| 834 | GRA-GAN: Generative Adversarial Network for Image Style Transfer of Gender, Race, and Age IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Y. Kim; S. Nam; Seung Baek Hong; K. Park; | Expert Syst. Appl. | 2022-03-01 |
| 835 | Styleverse: Towards Identity Stylization Across Heterogeneous Domains Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains. |
Jia Li; Jie Cao; JunXian Duan; Ran He; | arxiv-cs.CV | 2022-03-01 |
| 836 | Name Your Style: An Arbitrary Artist-aware Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a text-driven image style transfer (TxST) that leverages advanced image-text encoders to control arbitrary style transfer. |
Zhi-Song Liu; Li-Wen Wang; Wan-Chi Siu; Vicky Kalogeiton; | arxiv-cs.CV | 2022-02-28 |
| 837 | Multi-scale Attention Guided Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present an improved network architecture for pose transfer by introducing attention links at every resolution level of the encoder and decoder. |
Prasun Roy; Saumik Bhattacharya; Subhankar Ghosh; Umapada Pal; | arxiv-cs.CV | 2022-02-14 |
| 838 | Motion Puzzle: Arbitrary Motion Style Transfer By Body Part IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents Motion Puzzle, a novel motion style transfer network that advances the state-of-the-art in several important respects. |
Deok-Kyeong Jang; Soomin Park; Sung-Hee Lee; | arxiv-cs.GR | 2022-02-10 |
| 839 | Deep Feature Rotation for Multimodal Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple method for representing style features in many ways called Deep Feature Rotation (DFR), while not only producing diverse outputs but also still achieving effective stylization compared to more complex methods. |
Son Truong Nguyen; Nguyen Quang Tuyen; Nguyen Hong Phuc; | arxiv-cs.CV | 2022-02-09 |
| 840 | Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address an important problem of optical see through (OST) augmented reality: non-negative image synthesis. |
Flora Yu Shen; Katie Luo; Guandao Yang; Harald Haraldsson; Serge Belongie; | arxiv-cs.CV | 2022-02-08 |
| 841 | Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: One transfer learning method generalizes varying kinds of conditional image synthesization tasks. |
Yaxing Wang; Joost van de weijer; Lu Yu; SHANGLING JUI; | iclr | 2022-02-08 |
| 842 | MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose a framework that a priori models physical attributes of the face such as 3D shape, albedo, pose, and lighting explicitly, thus providing disentanglement by design. |
SAFA C. MEDIN et. al. | aaai | 2022-02-07 |
| 843 | MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current image-to-image translation-based face sketch synthesis frequently encounters over-fitting problems when it comes to small-scale datasets. To tackle this problem, we present an end-to-end Memory Oriented Style Transfer Network (MOST-Net) for face sketch synthesis which can produce high-fidelity sketches with limited data. |
Fan Ji; Muyi Sun; Xingqun Qi; Qi Li; Zhenan Sun; | arxiv-cs.CV | 2022-02-07 |
| 844 | Style-Guided and Disentangled Representation for Robust Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on two ideas, this paper proposes Style-Guided and Disentangled Representation for Robust Image-to-Image Translation (SRIT). |
Jaewoong Choi; Daeha Kim; Byung Cheol Song; | aaai | 2022-02-07 |
| 845 | Efficient Photorealistic Style Transfer with Multi-order Image Statistics Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhanqiang Huo; Xueli Li; Yingxu Qiao; Panbo Zhou; Junchang Wang; | Applied Intelligence | 2022-02-07 |
| 846 | Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle the problem of one-shot unsupervised domain adaptation (OSUDA) for semantic segmentation where the segmentors only see one unlabeled target image during training. |
Xinyi Wu; Zhenyao Wu; Yuhang Lu; Lili Ju; Song Wang; | aaai | 2022-02-07 |
| 847 | Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recent techniques to solve photorealistic style transfer within deep convolutional neural networks (CNNs) generally require intensive training from large-scale datasets, thus having limited applicability and poor generalization ability to unseen images or styles. To overcome this, we propose a novel framework, dubbed Deep Translation Prior (DTP), to accomplish photorealistic style transfer through test-time training on given input image pair with untrained networks, which learns an image pair-specific translation prior and thus yields better performance and generalization. |
Sunwoo Kim; Soohyun Kim; Seungryong Kim; | aaai | 2022-02-07 |
| 848 | Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, we propose a novel multi-domain unsupervised image-to-image translation (MDUIT) framework that leverages the decomposed content feature and appearance adaptive convolution to translate an image into a target appearance while preserving the given geometric content. |
Somi Jeong; Jiyoung Lee; Kwanghoon Sohn; | arxiv-cs.CV | 2022-02-06 |
| 849 | Stay Positive: Non-Negative Image Synthesis for Augmented Reality Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our key insight is that one can leverage this behavior to produce high quality images with negligible artifacts. |
KATIE LUO et. al. | arxiv-cs.CV | 2022-02-01 |
| 850 | An Improved Image Steganography Framework Based on Y Channel Information for Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer has effectively assisted artistic design in recent years, but it has also accelerated the tampering, synthesis, and dissemination of a large number of … |
WEN-BIN LIN et. al. | Secur. Commun. Networks | 2022-01-29 |
| 851 | Paired Image to Image Translation for Strikethrough Removal From Handwritten Words Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates the use of paired image to image translation approaches to remove strikethrough strokes from handwritten words. |
Raphaela Heil; Ekta Vats; Anders Hast; | arxiv-cs.CV | 2022-01-24 |
| 852 | Generative Adversarial Network Applications in Creating A Meta-Universe Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we discuss how GANs can be used to create an artificial world. |
Soheyla Amirian; Thiab R. Taha; Khaled Rasheed; Hamid R. Arabnia; | arxiv-cs.CV | 2022-01-22 |
| 853 | Study on Automatic 3D Facial Caricaturization: From Rules to Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial caricature is the art of drawing faces in an exaggerated way to convey emotions such as humor or sarcasm. Automatic caricaturization has been explored both in the 2D and 3D … |
NICOLAS OLIVIER et. al. | Frontiers in Virtual Reality | 2022-01-19 |
| 854 | Extending The Vocabulary of Fictional Languages Using Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a deep learning solution to the problem. |
Thomas Zacharias; Ashutosh Taklikar; Raja Giryes; | arxiv-cs.CL | 2022-01-18 |
| 855 | Arbitrary Handwriting Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposed a method to imitate handwriting style by style transfer. |
Kai Yang; Xiaoman Liang; Huihuang Zhao; | arxiv-cs.CV | 2022-01-14 |
| 856 | Deep Convolutional Nets Learning Classification for Artistic Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Humans have mastered the skill of creativity for many decades. The process of replicating this mechanism is introduced recently by using neural networks which replicate the … |
R. D. KUMAR et. al. | Sci. Program. | 2022-01-10 |
| 857 | GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Generative Mask-guided Face Image Manipulation (GMFIM) model based on GANs to apply imperceptible editing to the input face image to preserve the privacy of the person in the image. |
Mohammad Hossein Khojaste; Nastaran Moradzadeh Farid; Ahmad Nickabadi; | arxiv-cs.CV | 2022-01-10 |
| 858 | Multi-semantic Preserving Neural Style Transfer Based on Y Channel Information of Image Related Papers Related Patents Related Grants Related Venues Related Experts View |
Wujian Ye; Xueke Zhu; Yijun Liu; | The Visual Computer | 2022-01-10 |
| 859 | GAN-Based Semantic-Aware Translation for Day-to-Night Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Perception in autonomous driving has achieved robustness and high accuracy through deep learning. CNN-based methods require a large amount of data collection and annotation. … |
DAIKI SHIOTSUKA et. al. | 2022 IEEE International Conference on Consumer Electronics … | 2022-01-07 |
| 860 | Image Generation By Residual Block Based Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial network is a popular deep learning technique for solving artificial intelligence tasks, and it has been widely studied and applied for processing images, … |
Kuan-Hsien Liu; Chien-Cheng Lin; Tsung-Jung Liu; | 2022 IEEE International Conference on Consumer Electronics … | 2022-01-07 |
| 861 | Consistent Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recently, attentional arbitrary style transfer methods have been proposed to achieve fine-grained results, which manipulates the point-wise similarity between content and style features for stylization. |
Xuan Luo; Zhen Han; Lingkang Yang; Lingling Zhang; | arxiv-cs.CV | 2022-01-06 |
| 862 | Probing TryOnGAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, we reproduce the TryOnGAN implementation and probe it along diverse angles: impact of transfer learning, variants of conditioning image generation with poses and properties of latent space interpolation. |
Saurabh Kumar; Nishant Sinha; | arxiv-cs.CV | 2022-01-05 |
| 863 | GHOST—A New Face Swap Approach for Image and Video Domains IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep fake stands for a face swapping algorithm where the source and target can be an image or a video. Researchers have investigated sophisticated generative adversarial networks … |
A. Groshev; Anastasia Maltseva; Daniil Chesakov; Andrey Kuznetsov; Denis Dimitrov; | IEEE Access | 2022-01-01 |
| 864 | DLDFD: Recurrence Free 2D Convolution Approach for Deep Fake Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep Fake images, which are digitally generated either through computer graphics or deep learning techniques, pose an increasing risk to existing face recognition systems. This … |
Jag Mohan Singh; Raghavendra Ramachandra; | VISIGRAPP | 2022-01-01 |
| 865 | Remote Sensing Fine-Grained Ship Data Augmentation Pipeline With Local-Aware Progressive Image-to-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing image ship fine-grained classification is a challenging vision problem due to factors, such as interclass similarity, real-world image scarcity, and class … |
Bo Liu; Ligang Li; Qianyin Xiao; Wei Ni; Zhen Yang; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
| 866 | Front-door Adjustment Via Style Transfer for Out-of-distribution Generalisation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Out-of-distribution (OOD) generalisation aims to build a model that can well generalise its learnt knowledge from source domains to an unseen target domain. However, current image … |
Toan Nguyen; Kien Do; D. Nguyen; Bao Duong; T. Nguyen; | ArXiv | 2022-01-01 |
| 867 | MIST-Tacotron: End-to-End Emotional Speech Synthesis Using Mel-Spectrogram Image Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of voice synthesis technology using deep learning, voice synthesis research that expresses the characteristics and emotions of speakers is actively being … |
Sung-Woo Moon; Sunghyun Kim; Yong-Hoon Choi; | IEEE Access | 2022-01-01 |
| 868 | TeCM-CLIP: Text-Based Controllable Multi-attribute Face Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xudong Lou; Yiguang Liu; Xuwei Li; | Asian Conference on Computer Vision | 2022-01-01 |
| 869 | RainGAN: Unsupervised Raindrop Removal Via Decomposition and Composition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Adherent raindrops on windshield or camera lens may distort and occlude vision, causing issues for downstream machine vision perception. Most of the existing raindrop removal … |
Xu Yan; Yuan Ren Loke; | 2022 IEEE/CVF Winter Conference on Applications of Computer … | 2022-01-01 |
| 870 | SAR-to-Optical Image Translation With Hierarchical Latent Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the all-weather and all-time imaging capability of synthetic aperture radar (SAR), SAR remote sensing analysis has attracted much attention recently. However, compared with … |
Haixia Wang; Zhigang Zhang; Zhanyi Hu; Qiulei Dong; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
| 871 | Memory-Modulated Transformer Network for Heterogeneous Face Recognition IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous face recognition (HFR) aims at matching face images across different domains. It is challenging due to the severe domain discrepancies and overfitting caused by … |
Mandi Luo; Haoxue Wu; Huaibo Huang; Weizan He; Ran He; | IEEE Transactions on Information Forensics and Security | 2022-01-01 |
| 872 | A Comparative Analysis of GAN-Based Methods for SAR-to-Optical Image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unlike optical sensors, synthetic aperture radar (SAR) sensors acquire images of the Earth’s surface with all-weather and all-time capabilities, which is vital in a situation such … |
Yitao Zhao; T. Çelik; Nanqing Liu; Hengchao Li; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
| 873 | An Edge Filter Based Approach of Neural Style Transfer to The Image Stylization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transferring artistic styles onto any image or photograph has become popular in industry and academia in recent years. The use of neural style transfer (NST) for image style … |
SHUBHAM BAGWARI et. al. | IEEE Access | 2022-01-01 |
| 874 | Hand Hygiene Quality Assessment Using Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
CHAOFAN WANG et. al. | International Conference on Medical Image Computing and … | 2022-01-01 |
| 875 | Disentangling Noise Patterns From Seismic Images: Noise Reduction and Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Seismic interpretation is a fundamental approach for obtaining static and dynamic information about subsurface reservoirs, such as geological faults/salt bodies and associated … |
HAIWEN DU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
| 876 | A Review: The Study and Analysis of Neural Style Transfer in Image Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shubham Bagwari; Kanika Choudhary; Suresh Raikwar; Prashant Singh Rana; Sumit Mighlani; | CVMI | 2022-01-01 |
| 877 | Inversion-Based Creativity Transfer with Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we introduce the task of “Creativity Trans-fer”. The artistic creativity within a painting is the means of expression, which includes not only the painting … |
YU-XIN ZHANG et. al. | ArXiv | 2022-01-01 |
| 878 | A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs Related Papers Related Patents Related Grants Related Venues Related Experts View |
Rabia Tahir; Keyang Cheng; B. Memon; Qing Liu; | Int. J. Interact. Multim. Artif. Intell. | 2022-01-01 |
| 879 | Semantic Image Manipulation with Background-guided Internal Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: . Image manipulation has attracted a lot of interest due to its wide range of applications. Prior work modifies images either from low-level manipulation, such as image inpainting … |
Zhongping Zhang; Huiwen He; Bryan A. Plummer; Zhenyu Liao; Huayan Wang; | ArXiv | 2022-01-01 |
| 880 | High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mateo Gende; J. D. Moura; J. Novo; M. Ortega; | International Conference on Image Analysis and Processing | 2022-01-01 |
| 881 | Avoiding Shortcuts in Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Tomaso Fontanini; F. Botti; M. Bertozzi; A. Prati; | International Conference on Image Analysis and Processing | 2022-01-01 |
| 882 | Cross Modal Facial Image Synthesis Using A Collaborative Bidirectional Style Transfer Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present a novel collaborative bidirectional style transfer network based on generative adversarial network (GAN) for cross modal facial image synthesis, possibly … |
N. Din; Seho Bae; Kamran Javed; H. Park; Juneho Yi; | IEEE Access | 2022-01-01 |
| 883 | Loss Functions for Pose Guided Person Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haoyue Shi; Le Wang; Nanning Zheng; Gang Hua; Wei Tang; | Pattern Recognition | 2022-01-01 |
| 884 | Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The neural style transfer has achieved a significant improvement with deep learning methods. However, the existing methods are susceptible to lack the ability for handling the … |
Zheng Zhou; Yue Wu; Xaiofei Yang; Yicong Zhou; | IEEE Signal Processing Letters | 2022-01-01 |
| 885 | Framework to Computationally Analyze Kathakali Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Kathakali is one of the major forms of Classical Indian Dance. The dance form is distinguished by the elaborately colourful makeup, costumes and face masks. In this work, we … |
Pratikkumar Bulani; S. Jayachandran; S. Sivaprasad; Vineet Gandhi; | WICED@Eurographics/EuroVis | 2022-01-01 |
| 886 | JoinTW: A Joint Image-to-Image Translation and Watermarking Method Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaohan Zhao; Yunhong Wang; Ruijie Yang; Yuanfang Guo; | Chinese Conference on Pattern Recognition and Computer … | 2022-01-01 |
| 887 | SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current state-of-the-art object detectors can have significant performance drop when deployed in the wild due to domain gaps with training data. Unsupervised Domain Adaptation … |
FUXUN YU et. al. | 2022 IEEE/CVF Winter Conference on Applications of Computer … | 2022-01-01 |
| 888 | Intelligent Matching Method for Heterogeneous Remote Sensing Images Based on Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Intelligent matching of heterogeneous remote sensing images is a common basic problem in the field of intelligent remote sensing image processing. Aiming at the difficulty of … |
Jiawei Zhao; Dongfang Yang; Yongfei Li; Peng Xiao; Jinglan Yang; | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
| 889 | MultiStyleGAN: Multiple One-shot Face Stylizations Using A Single GAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image stylization aims at applying a reference style to arbitrary input images. A common scenario is one-shot stylization , where only one example is available for each reference … |
Viraj Shah; Svetlana Lazebnik; | ArXiv | 2022-01-01 |
| 890 | Classifying Ships in SAR Images By Using Contour Bias Features and Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of synthetic-aperture radar (SAR) image interpretation technology in recent years, classifying detected ships based on SAR images has become an important … |
Yang Liu; Tiantain Li; Kun Yuan; Shan Li; | IEEE Access | 2022-01-01 |
| 891 | EM-LAST: Effective Multidimensional Latent Space Transport for An Unpaired Image-to-Image Translation With An Energy-Based Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For an unpaired image-to-image translation to work effectively, the latent space of each image domain must be well-designed. The codes of each style must be translated toward the … |
Giwoong Han; Jinhong Min; S. Han; | IEEE Access | 2022-01-01 |
| 892 | AU-GAN: Attention U-Net Based on A Built-In Attention for Multi-domain Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Caie Xu; Jin Gan; Mingyang Wu; Dandan Ni; | APWeb/WAIM Workshops | 2022-01-01 |
| 893 | Low-Resource Authorship Style Transfer with In-Context Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Authorship style transfer involves altering the style of text to match the style of some target author whilst preserving the semantic meaning of the original text. Existing … |
Ajay Patel; Nicholas Andrews; Chris Callison-Burch; | ArXiv | 2022-01-01 |
| 894 | A Semi-Supervised Image-to-Image Translation Framework for SAR–Optical Image Matching Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic aperture radar (SAR) and optical image matching aims to acquire correspondences from a certain pair of SAR and optical images. Recent advances in the image-to-image … |
WENLIANG DU et. al. | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
| 895 | Object-Based Attention Mechanism for Color Calibration of UAV Remote Sensing Images in Precision Agriculture IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Color calibration is a critical step for unmanned aerial vehicle (UAV) remote sensing, especially in precision agriculture, which relies mainly on correlating color changes to … |
HUASHENG HUANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
| 896 | BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When segmenting massive amounts of remote sensing images collected from different satellites or geographic locations (cities), the pre-trained deep learning models cannot always … |
YUXIANG CAI et. al. | Remote. Sens. | 2022-01-01 |
| 897 | VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation is an important and chal-lenging problem in computer vision. Existing approaches like Pixel2Pixel [7], DualGAN [12] suffer from the instabil-ity of GAN … |
Bo Li; Kaitao Xue; Bin Liu; Yunyu Lai; | ArXiv | 2022-01-01 |
| 898 | How to Augment Your ViTs? Consistency Loss and StyleAug, A Random Style Transfer Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we empirical evaluated how different data augmentation strategies performed on CNN (e.g., ResNet) versus ViT architectures for image classification. |
Akash Umakantha; Joao D. Semedo; S. Alireza Golestaneh; Wan-Yi S. Lin; | arxiv-cs.CV | 2021-12-16 |
| 899 | Neural Style Transfer and Unpaired Image-to-Image Translation to Deal with The Domain Shift Problem on Spheroid Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is common in the context of biomedical image segmentation due to the variance of experimental conditions, equipment, and capturing settings. In this work, we address this challenge by studying both neural style transfer algorithms and unpaired image-to-image translation methods in the context of the segmentation of tumour spheroids. |
Manuel García-Domínguez; César Domínguez; Jónathan Heras; Eloy Mata; Vico Pascual; | arxiv-cs.CV | 2021-12-16 |
| 900 | Hairstyle Transfer Between Face Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a neural network which takes two inputs, a hair image and a face image, and produces an output image having the hair of the hair image seamlessly merged with the inner … |
A. Subrtová; Jan Cech; Vojtech Franc; | 2021 16th IEEE International Conference on Automatic Face … | 2021-12-15 |
| 901 | Image Matting: A Comprehensive Survey on Techniques, Comparative Analysis, Applications and Future Scope Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the era of rapid growth of technologies, image matting plays a key role in image and video editing along with image composition. In many significant real-world applications … |
D. C. Lepcha; Bhawna Goyal; Ayush Dogra; | Int. J. Image Graph. | 2021-12-15 |
| 902 | Explainable Thermal to Visible Face Recognition Using Latent-Guided Generative Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the main challenges in performing thermal-to-visible face image translation is preserving the identity across different spectral bands. Existing work does not effectively … |
David Anghelone; Cunjian Chen; Philippe Faure; A. Ross; A. Dantcheva; | 2021 16th IEEE International Conference on Automatic Face … | 2021-12-15 |
| 903 | Effects of Demographics and Photometric Normalization on Image Translation GANs for Cross-Spectral Face Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper focuses on thermal-to-visible face matching through image synthesis. Most of the legacy face image datasets are composed of visible band data. Thermal band as well as … |
Suha Reddy Mokalla; T. Bourlai; | 2021 IEEE International Conference on Big Data (Big Data) | 2021-12-15 |
| 904 | Stochastic Actor-Executor-Critic for Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we draw inspiration from the recent success of the maximum entropy reinforcement learning framework designed for challenging continuous control problems to develop stochastic policies over high dimensional continuous spaces including image representation, generation, and control simultaneously. |
ZIWEI LUO et. al. | arxiv-cs.CV | 2021-12-14 |
| 905 | A Domain Adaptive Person Re-Identification Based on Dual Attention Mechanism and Camstyle Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the variation in the image capturing process, the difference between source and target sets causes a challenge in unsupervised domain adaptation (UDA) on person … |
CHENGYAN ZHONG et. al. | Algorithms | 2021-12-13 |
| 906 | Stylized Dialogue Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Dialogue systems such as intelligent online customer services, online chatbots or smart kiosks are becoming increasingly popular. Currently dialogue systems lack personality and … |
Shi Ke; Wei-Liang Chen; | 2021 IEEE International Conference on Industrial … | 2021-12-13 |
| 907 | Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Towards robust EV charging inlet detection, we propose a new dataset (EVCI dataset) and a novel data augmentation method that is based on image-to-image translation where typical image-to-image translation methods synthesize a new image in a different domain given an image. |
Yeonjun Bang; Yeejin Lee; Byeongkeun Kang; | arxiv-cs.CV | 2021-12-09 |
| 908 | The Effect of 2D Stylized Visualization of The Real World for Obstacle Avoidance and Safety in Virtual Reality System Usage Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Using virtual reality systems with the head-mounted display can incur interaction difficulties and safety problems because of the user’s view being isolated from the real world … |
Jaeeun Kim; Heeyoon Jeong; G. Kim; | Proceedings of the 27th ACM Symposium on Virtual Reality … | 2021-12-08 |
| 909 | Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a novel GAN model, i.e., AU-GAN, which has an asymmetric architecture for adverse domain translation. |
JEONG-GI KWAK et. al. | arxiv-cs.CV | 2021-12-08 |
| 910 | Neural Photometry-guided Visual Attribute Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a deep learning-based method for propagating spatially-varying visual material attributes (e.g. texture maps or image stylizations) to larger samples of the same or similar materials. |
Carlos Rodriguez-Pardo; Elena Garces; | arxiv-cs.CV | 2021-12-05 |
| 911 | Panoptic-based Object Style-Align for Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose panoptic-based object style-align generative adversarial networks (POSA-GANs) for image-to-image translation together with a compact panoptic segmentation dataset. |
LIYUN ZHANG et. al. | arxiv-cs.CV | 2021-12-03 |
| 912 | Panoptic-aware Image-to-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite remarkable progress in image translation, the complex scene with multiple discrepant objects remains a challenging problem. The translated images have low fidelity and … |
LIYUN ZHANG et. al. | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2021-12-03 |
| 913 | StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We apply style transfer on mesh reconstructions of indoor scenes. |
Lukas Höllein; Justin Johnson; Matthias Nießner; | arxiv-cs.CV | 2021-12-02 |
| 914 | FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present FaceTuneGAN, a new 3D face model representation decomposing and encoding separately facial identity and facial expression. |
Nicolas Olivier; Kelian Baert; Fabien Danieau; Franck Multon; Quentin Avril; | arxiv-cs.CV | 2021-12-01 |
| 915 | Semi-supervised Video-driven Facial Animation Transfer for Production IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a simple algorithm for automatic transfer of facial expressions, from videos to a 3D character, as well as between distinct 3D characters through their rendered … |
LUCIO MOSER et. al. | ACM Transactions on Graphics (TOG) | 2021-12-01 |
| 916 | FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose the Flow-based Dual Attention GAN (FDA-GAN) to apply occlusion- and deformation-aware feature fusion for higher generation quality. |
Liyuan Ma; Kejie Huang; Dongxu Wei; Zhaoyan Ming; Haibin Shen; | arxiv-cs.CV | 2021-12-01 |
| 917 | EdiBERT, A Generative Model for Image Editing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim at making a step towards a unified approach for image editing. |
Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard; | arxiv-cs.CV | 2021-11-30 |
| 918 | SpaceEdit: Learning A Unified Editing Space for Open-Domain Image Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by these efforts, in this paper we propose a unified model for open-domain image editing focusing on color and tone adjustment of open-domain images while keeping their original content and structure. |
JING SHI et. al. | arxiv-cs.CV | 2021-11-30 |
| 919 | ManiFest: Manifold Deformation for Few-shot Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We instead propose ManiFest: a framework for few-shot image translation that learns a context-aware representation of a target domain from a few images only. |
Fabio Pizzati; Jean-François Lalonde; Raoul de Charette; | arxiv-cs.CV | 2021-11-26 |
| 920 | TRIP: Refining Image-to-Image Translation Via Rival Preferences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new model TRIP to coordinate these two goals for high-quality fine-grained translation. |
Yinghua Yao; Yuangang Pan; Ivor W. Tsang; Xin Yao; | arxiv-cs.LG | 2021-11-26 |
| 921 | Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We evaluate our proposed method in various face attribute manipulation tasks. |
RUI WANG et. al. | arxiv-cs.CV | 2021-11-25 |
| 922 | EgoRenderer: Rendering Human Avatars from Egocentric Camera Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present EgoRenderer, a system for rendering full-body neural avatars of a person captured by a wearable, egocentric fisheye camera that is mounted on a cap or a VR headset. |
Tao Hu; Kripasindhu Sarkar; Lingjie Liu; Matthias Zwicker; Christian Theobalt; | arxiv-cs.CV | 2021-11-24 |
| 923 | PT-VTON: An Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present PT-VTON, a novel pose-transfer-based framework for cloth transfer that enables virtual try-on with arbitrary poses. |
Hanhan Zhou; Tian Lan; Guru Venkataramani; | arxiv-cs.CV | 2021-11-23 |
| 924 | Artistic Style Transfer with Internal-external Learning and Contrastive Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by this, we propose an internal-external style transfer method with two contrastive losses. |
HAIBO CHEN et. al. | nips | 2021-11-20 |
| 925 | Delving Into Rectifiers in Style-Based Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we show that the activation function is one of the crucial components in controlling the direction of image synthesis. |
Yipeng Zhang; Bingliang Hu; Hailong Ning; Quang Wang; | arxiv-cs.CV | 2021-11-20 |
| 926 | Breaking The Dilemma of Medical Image-to-image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to break the dilemma of the existing modes, we propose a new unsupervised mode called RegGAN for medical image-to-image translation. |
LINGKE KONG et. al. | nips | 2021-11-20 |
| 927 | Global and Local Alignment Networks for Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In the paper, to address this issue, we introduce a novel approach, Global and Local Alignment Networks (GLA-Net). |
GUANGLEI YANG et. al. | arxiv-cs.CV | 2021-11-19 |
| 928 | Style Transfer with Target Feature Palette and Attention Coloring Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, to solve these problems, a novel artistic stylization method with target feature palettes is proposed, which can transfer key features accurately. |
Suhyeon Ha; Guisik Kim; Junseok Kwon; | arxiv-cs.CV | 2021-11-07 |
| 929 | Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate the problem of UDA from a synthetic computer-generated domain to a similar but real-world domain for learning semantic segmentation. |
Stephan Brehm; Sebastian Scherer; Rainer Lienhart; | arxiv-cs.CV | 2021-11-05 |
| 930 | Seamless Satellite-image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Seamless Satellite-image Synthesis (SSS), a novel neural architecture to create scale-and-space continuous satellite textures from cartographic data. |
Jialin Zhu; Tom Kelly; | arxiv-cs.CV | 2021-11-05 |
| 931 | Generic Resources Are What You Need: Style Transfer Tasks Without Task-specific Parallel Training Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach to this task that leverages generic resources, and without using any task-specific parallel (source-target) data outperforms existing unsupervised approaches on the two most popular style transfer tasks: formality transfer and polarity swap. |
Huiyuan Lai; Antonio Toral; Malvina Nissim; | emnlp | 2021-11-05 |
| 932 | StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce StyleCLIPDraw which adds a style loss to the CLIPDraw text-to-drawing synthesis model to allow artistic control of the synthesized drawings in addition to control of the content via text. |
Peter Schaldenbrand; Zhixuan Liu; Jean Oh; | arxiv-cs.CV | 2021-11-04 |
| 933 | StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we take a deeper look at the spatial properties of StyleGAN. |
Min Jin Chong; Hsin-Ying Lee; David Forsyth; | arxiv-cs.CV | 2021-11-02 |
| 934 | Learning Co-segmentation By Segment Swapping for Retrieval and Discovery IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of this work is to efficiently identify visually similar patterns in images, e.g. identifying an artwork detail copied between an engraving and an oil painting, or recognizing parts of a night-time photograph visible in its daytime counterpart. |
Xi Shen; Alexei A. Efros; Armand Joulin; Mathieu Aubry; | arxiv-cs.CV | 2021-10-29 |
| 935 | Cognitive Driving Data Visualization and Driving Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes a visualization method for imaging cognitive driving data, which records data related to driving operations and drivers’ cognitive states. The visualization … |
H. Hiraishi; | 2021 IEEE 20th International Conference on Cognitive … | 2021-10-29 |
| 936 | Separating Content and Style for Unsupervised Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to separate the content code and style code simultaneously in a unified framework. |
Yunfei Liu; Haofei Wang; Yang Yue; Feng Lu; | arxiv-cs.CV | 2021-10-27 |
| 937 | GAN Theft Auto: Autonomous Texturing of Procedurally Generated Interactive Cities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We explore the possibility of producing photo-realistic and stylized videos from semantically segmented image sequences drawn from a procedurally generated interactive 3D … |
Oscar Dadfar; Lingdong Huang; Hizal Çelik; | Proceedings of the 4th International Conference on Computer … | 2021-10-22 |
| 938 | StyleAlign: Analysis and Applications of Aligned StyleGAN Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we perform an in-depth study of the properties and applications of aligned generative models. |
Zongze Wu; Yotam Nitzan; Eli Shechtman; Dani Lischinski; | arxiv-cs.CV | 2021-10-21 |
| 939 | STALP: Style Transfer with Auxiliary Limited Pairing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart. |
DAVID FUTSCHIK et. al. | arxiv-cs.CV | 2021-10-20 |
| 940 | Style Agnostic 3D Reconstruction Via Adversarial Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an approach that enables a differentiable rendering-based learning of 3D objects from images with backgrounds without the need for silhouette supervision. |
Felix Petersen; Bastian Goldluecke; Oliver Deussen; Hilde Kuehne; | arxiv-cs.CV | 2021-10-20 |
| 941 | Unified Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a novel approach, the Unified Style Transfer (UST) model, is proposed. |
Guanjie Huang; Hongjian He; Xiang Li; Xingchen Li; Ziang Liu; | arxiv-cs.CV | 2021-10-20 |
| 942 | FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose FacialGAN, a novel framework enabling simultaneous rich style transfers and interactive facial attributes manipulation. |
Ricard Durall; Jireh Jam; Dominik Strassel; Moi Hoon Yap; Janis Keuper; | arxiv-cs.CV | 2021-10-18 |
| 943 | Domain Adaptation for Viewpoint Estimation with Image Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Viewpoint estimation is the pre-procedure for purposive perception and fine pose estimation, which has vital applications in robot manipulation and grasping. Unfortunately, the … |
Xunjin Wu; Changsheng Lu; Chaochen Gu; Kaijie Wu; Shanying Zhu; | 2021 International Conference on Control, Automation and … | 2021-10-14 |
| 944 | Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further improve the generation performance, we propose a novel framework with disentangled multi-branch encoders and a shared decoder. |
JINGNING XU et. al. | arxiv-cs.CV | 2021-10-14 |
| 945 | Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data Using Style Transfer, Semantic Image Segmentation and Ensemble Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores this domain and proposes multiple similarity measures which uses Style Loss and Dice Coefficient via a novel similarity measure called I1-Score. |
Priyam Mehta; | arxiv-cs.CV | 2021-10-12 |
| 946 | Music Sentiment Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Music sentiment transfer attempts to apply the high level objective of sentiment transfer to the domain of music. |
Miles Sigel; Michael Zhou; Jiebo Luo; | arxiv-cs.SD | 2021-10-12 |
| 947 | Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a novel text-guided image manipulation method using referring image segmentation. The referring image segmentation aims at segmenting the region relevant to the given … |
Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa; M. Haseyama; | 2021 IEEE 10th Global Conference on Consumer Electronics … | 2021-10-12 |
| 948 | Harnessing The Conditioning Sensorium for Improved Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We evaluate our method on traditional, well-aligned, datasets such as CelebA-HQ, and propose two novel datasets for evaluation on more complex scenes: ClassicTV and FFHQ-Wild. |
Cooper Nederhood; Nicholas Kolkin; Deqing Fu; Jason Salavon; | arxiv-cs.CV | 2021-10-12 |
| 949 | LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper intends to build the model for I2I translation among continuous varying domains. |
Qiusheng Huang; Xueqi Hu; Li Sun; Qingli Li; | arxiv-cs.CV | 2021-10-11 |
| 950 | Bridging The Gap Between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The image-to-image translation (I2IT) model takes a target label or a reference image as the input, and changes a source into the specified target domain. |
Qiusheng Huang; Zhilin Zheng; Xueqi Hu; Li Sun; Qingli Li; | arxiv-cs.CV | 2021-10-11 |
| 951 | Digging Into Self-Supervised Learning of Feature Descriptors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on understanding the limitations of existing self-supervised approaches and propose a set of improvements that combined lead to powerful feature descriptors. |
Iaroslav Melekhov; Zakaria Laskar; Xiaotian Li; Shuzhe Wang; Juho Kannala; | arxiv-cs.CV | 2021-10-10 |
| 952 | Rethinking The Truly Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle image-to-image translation in a fully unsupervised setting, i.e., neither paired images nor domain labels. |
Kyungjune Baek; Yunjey Choi; Youngjung Uh; Jaejun Yoo; Hyunjung Shim; | iccv | 2021-10-08 |
| 953 | Structure-Transformed Texture-Enhanced Network for Person Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we devise a structure-transformed texture-enhanced network to generate high-quality person images and construct the relationships between two tasks. |
Munan Xu; Yuanqi Chen; Shan Liu; Thomas H. Li; Ge Li; | iccv | 2021-10-08 |
| 954 | 3DStyleNet: Creating 3D Shapes With Geometric and Texture Style Variations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to create plausible geometric and texture style variations of 3D objects in the quest to democratize 3D content creation. |
Kangxue Yin; Jun Gao; Maria Shugrina; Sameh Khamis; Sanja Fidler; | iccv | 2021-10-08 |
| 955 | Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach which combines unpaired image translation with neural rendering to transfer simulated to photorealistic surgical abdominal scenes. |
DOMINIK RIVOIR et. al. | iccv | 2021-10-08 |
| 956 | Unaligned Image-to-Image Translation By Learning to Reweight IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we consider the task of image translation between two unaligned domains, which may arise for various possible reasons. |
Shaoan Xie; Mingming Gong; Yanwu Xu; Kun Zhang; | iccv | 2021-10-08 |
| 957 | Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we uncover that the negative examples play a critical role in the performance of contrastive learning for image translation. |
Weilun Wang; Wengang Zhou; Jianmin Bao; Dong Chen; Houqiang Li; | iccv | 2021-10-08 |
| 958 | STRIVE: Scene Text Replacement in Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose replacing scene text in videos using deep style transfer and learned photometric transformations. |
VIJAY KUMAR B G et. al. | iccv | 2021-10-08 |
| 959 | Manifold Alignment for Semantically Aligned Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this assumption, the style transfer problem is formulated as aligning two multi-manifold distributions and a Manifold Alignment based Style Transfer (MAST) framework is proposed. |
JING HUO et. al. | iccv | 2021-10-08 |
| 960 | Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We view this retouching process as image style transfer and then proposed the fake-to-realistic transformation generator GT. |
Xiuli Bi; Zhipeng Zhang; Bin Xiao; | iccv | 2021-10-08 |
| 961 | Diverse Image Style Transfer Via Invertible Cross-Space Mapping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this limitation, we propose a Diverse Image Style Transfer (DIST) framework which achieves significant diversity by enforcing an invertible cross-space mapping. |
HAIBO CHEN et. al. | iccv | 2021-10-08 |
| 962 | StyleFormer: Real-Time Arbitrary Style Transfer Via Parametric Style Composition IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a new feed-forward arbitrary style transfer method, referred to as StyleFormer, which can simultaneously fulfill fine-grained style diversity and semantic content coherency. |
Xiaolei Wu; Zhihao Hu; Lu Sheng; Dong Xu; | iccv | 2021-10-08 |
| 963 | TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new transfer learning for I2I translation (TransferI2I). |
Yaxing Wang; Hector Laria; Joost van de Weijer; Laura Lopez-Fuentes; Bogdan Raducanu; | iccv | 2021-10-08 |
| 964 | Attack As The Best Defense: Nullifying Image-to-Image Translation GANs Via Limit-Aware Adversarial Attack IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we tackle the problem by a new adversarial attack scheme, namely the Nullifying Attack, which cancels the image translation process and proposes a corresponding framework, the Limit-Aware Self-Guiding Gradient Sliding Attack (LaS-GSA) under a black-box setting. |
Chin-Yuan Yeh; Hsi-Wen Chen; Hong-Han Shuai; De-Nian Yang; Ming-Syan Chen; | iccv | 2021-10-08 |
| 965 | AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this problem, in this paper, we propose a novel Adaptive Attention Normalization (AdaAttN) module to adaptively perform attentive normalization on per-point basis. |
SONGHUA LIU et. al. | iccv | 2021-10-08 |
| 966 | Domain-Aware Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome this limitation, we propose a unified architecture, Domain-aware Style Transfer Networks (DSTN) that transfer not only the style but also the property of domain (i.e., domainness) from a given reference image. |
Kibeom Hong; Seogkyu Jeon; Huan Yang; Jianlong Fu; Hyeran Byun; | iccv | 2021-10-08 |
| 967 | DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a Dynamic ResBlock Generative Adversarial Network (DRB-GAN) for artistic style transfer. |
Wenju Xu; Chengjiang Long; Ruisheng Wang; Guanghui Wang; | iccv | 2021-10-08 |
| 968 | SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work introduced a novel GAN architecture for unsupervised image translation on the task of face style transform. |
Qizhou Wang; Maksim Makarenko; | arxiv-cs.CV | 2021-10-06 |
| 969 | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, these approaches often have difficulties in reconstructing images with novel poses, views, and highly variable contents compared to the training data, altering object identity, or producing unwanted image artifacts. To mitigate these problems and enable faithful manipulation of real images, we propose a novel method, dubbed DiffusionCLIP, that performs text-driven image manipulation using diffusion models. |
Gwanghyun Kim; Taesung Kwon; Jong Chul Ye; | arxiv-cs.CV | 2021-10-06 |
| 970 | Voice Aging with Audio-Visual Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we apply a similar approach to age a speaker’s voice, referred to as voice aging. |
Justin Wilson; Sunyeong Park; Seunghye J. Wilson; Ming C. Lin; | arxiv-cs.SD | 2021-10-05 |
| 971 | Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by atlas-based segmentation, we propose a novel volumetric self-supervised learning for data augmentation capable of synthesizing volumetric image-segmentation pairs via learning transformations from a single labeled atlas to the unlabeled data. |
DEVAVRAT TOMAR et. al. | arxiv-cs.CV | 2021-10-05 |
| 972 | Causal Representation Learning for Context-Aware Face Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel context-aware face transfer method, called CarTrans, that incorporates causal effects of contextual factors into face representation, and thus is able to be aware of the uncertainty of new contexts. |
Gege Gao; Huaibo Huang; Chaoyou Fu; Ran He; | arxiv-cs.CV | 2021-10-04 |
| 973 | A Survey of Research on Image Style Transfer Based on Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The explosive growth of graphics card computing power is accompanied by the rise of deep learning, and the development of style transfer has also ushered in a new stage. And this … |
Qiqi Shang; Lingxi Hu; Quanfeng Li; Wei Long; Linhua Jiang; | 2021 3rd International Conference on Artificial … | 2021-10-01 |
| 974 | Seamless Satellite‐image Synthesis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We introduce Seamless Satellite‐image Synthesis (SSS), a novel neural architecture to create scale‐and‐space continuous satellite textures from cartographic data. While 2D map … |
Jialin Zhu; T. Kelly; | Computer Graphics Forum | 2021-10-01 |
| 975 | DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To evaluate the effectiveness and show the general use of our method, we conduct a set of experiments on makeup transfer and semantic image synthesis. |
YUEMING LYU et. al. | arxiv-cs.CV | 2021-09-29 |
| 976 | ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes an implicit style function (ISF) to straightforwardly achieve multi-modal and multi-domain image-to-image translation from pre-trained unconditional generators. |
YAHUI LIU et. al. | arxiv-cs.CV | 2021-09-26 |
| 977 | Contrastive Unpaired Translation Using Focal Loss for Patch Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This type of approach encourages mapping of corresponding patches to the same location in relation to other patches (negatives) while at the same time improves the output image quality and significantly decreases memory usage as well as the time required to train the model compared to CycleGAN method used as a baseline. |
Bernard Spiegl; | arxiv-cs.CV | 2021-09-25 |
| 978 | Layered Neural Atlases for Consistent Video Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a method that decomposes, or unwraps, an input video into a set of layered 2D atlases, each providing a unified representation of the appearance of an object (or background) over the video. |
Yoni Kasten; Dolev Ofri; Oliver Wang; Tali Dekel; | arxiv-cs.CV | 2021-09-23 |
| 979 | A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this issue, we propose a lifting-and-projection framework to perform pose transfer in the 3D mesh space. |
Jinxiang Liu; Yangheng Zhao; Siheng Chen; Ya Zhang; | arxiv-cs.CV | 2021-09-23 |
| 980 | Stylized Image Resolution Enhancement Scheme Based on An Improved Convolutional Neural Network in Cyber‐physical Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Edge computing based on intelligent techniques provides powerful processing abilities in cyber‐physical systems (CPS), thereby enabling real‐time insights, and analyses for … |
Xiaozhu Liu; Bang Li; | Concurrency and Computation: Practice and Experience | 2021-09-21 |
| 981 | Image Shape Manipulation from A Single Augmented Training Sample IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image. |
Yael Vinker; Eliahu Horwitz; Nir Zabari; Yedid Hoshen; | arxiv-cs.CV | 2021-09-13 |
| 982 | Leveraging Local Domains for Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we leverage human knowledge about spatial domain characteristics which we refer to as ‘local domains’ and demonstrate its benefit for image-to-image translation. |
Anthony Dell’Eva; Fabio Pizzati; Massimo Bertozzi; Raoul de Charette; | arxiv-cs.CV | 2021-09-09 |
| 983 | Dual Transfer Learning for Event-based End-task Prediction Via Pluggable Event to Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet flexible two-stream framework named Dual Transfer Learning (DTL) to effectively enhance the performance on the end-tasks without adding extra inference cost. |
Lin Wang; Yujeong Chae; Kuk-Jin Yoon; | arxiv-cs.CV | 2021-09-04 |
| 984 | 3D Human Shape Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore an alternative approach that transfers the source shape style onto the moving character. |
Joao Regateiro; Edmond Boyer; | arxiv-cs.CV | 2021-09-03 |
| 985 | Domain-Robust Mitotic Figure Detection with Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new training scheme for domain generalization in mitotic figure detection. |
Youjin Chung; Jihoon Cho; Jinah Park; | arxiv-cs.CV | 2021-09-02 |
| 986 | Domain Adaptive Semantic Segmentation Via Image Translation and Representation Alignment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Domain Adaptation for semantic segmentation is of vital significance since it enables effective knowledge transfer from a labeled source domain (i.e., synthetic data) to an … |
Jingxuan Kang; Bin Zang; Weipeng Cao; | 2021 IEEE Intl Conf on Parallel & Distributed Processing … | 2021-09-01 |
| 987 | Font Completion and Manipulation By Cycling Between Multi-Modality Representations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we innovate to explore the generation of font glyphs as 2D graphic objects with the graph as an intermediate representation, so that more intrinsic graphic properties of font styles can be captured. |
YE YUAN et. al. | arxiv-cs.CV | 2021-08-29 |
| 988 | Non-Parametric Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Precisely defining ‘content’ and ‘style’ is a central challenge of designing algorithms for artistic style transfer, algorithms which can recreate photographs using an artwork’s style. |
Nicholas Kolkin; | arxiv-cs.CV | 2021-08-29 |
| 989 | Similar Scenes Arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Extract-Retrieve-Generate data augmentation framework to extract style phrases from small-scale stylized sentences and graft them to large-scale factual captions. |
Guodun Li; Yuchen Zhai; Zehao Lin; Yin Zhang; | arxiv-cs.CV | 2021-08-26 |
| 990 | Matching Underwater Sonar Images By The Learned Descriptor Based on Style Transfer Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a method that combines the style transfer technique and the learned descriptor to enhance the matching performances of underwater sonar images. |
Xiaoteng Zhou; Changli Yu; Xin Yuan; Citong Luo; | arxiv-cs.CV | 2021-08-26 |
| 991 | StyleAugment: Learning Texture De-biased Representations By Style Augmentation Without Pre-defined Textures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a StyleAugment by augmenting styles from the mini-batch. |
Sanghyuk Chun; Song Park; | arxiv-cs.CV | 2021-08-24 |
| 992 | LLVIP: A Visible-infrared Paired Dataset for Low-light Vision IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present LLVIP, a visible-infrared paired dataset for low-light vision. |
XINYU JIA et. al. | arxiv-cs.CV | 2021-08-24 |
| 993 | BiaSwap: Removing Dataset Bias with Bias-tailored Swapping Augmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel bias-tailored augmentation-based approach, BiaSwap, for learning debiased representation without requiring supervision on the bias type. |
Eungyeup Kim; Jihyeon Lee; Jaegul Choo; | arxiv-cs.CV | 2021-08-23 |
| 994 | Graph2Pix: A Graph-Based Image to Image Translation Framework Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a graph-based image-to-image translation framework for generating images. |
DILARA GOKAY et. al. | arxiv-cs.CV | 2021-08-22 |
| 995 | Towards Controllable and Photorealistic Region-wise Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a generative model with auto-encoder architecture for per-region style manipulation. |
Ansheng You; Chenglin Zhou; Qixuan Zhang; Lan Xu; | arxiv-cs.CV | 2021-08-19 |
| 996 | Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For this reason, in this paper, it is shown how gradient based attentions can be used as knowledge to be conveyed in a teacher-student paradigm for multi-domain image-to-image translation tasks in order to improve the results of the student architecture. |
Runze Li; Tomaso Fontanini; Luca Donati; Andrea Prati; Bir Bhanu; | arxiv-cs.CV | 2021-08-17 |
| 997 | Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel video style transfer framework for Chinese ink wash paintings. |
Hao Liang; Shuai Yang; Wenjing Wang; Jiaying Liu; | ijcai | 2021-08-13 |
| 998 | Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, we propose an iterative dual knowledge transfer framework that utilizes informal training data of machine translation and formality style transfer data to create large-scale stylized paired data, for the training of stylized machine translation model. |
XUANXUAN WU et. al. | ijcai | 2021-08-13 |
| 999 | UMFA: A Photorealistic Style Transfer Method Based on U-Net and Multi-layer Feature Aggregation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a photorealistic style transfer network to emphasize the natural effect of photorealistic image stylization. |
D. Y. Rao; X. J. Wu; H. Li; J. Kittler; T. Y. Xu; | arxiv-cs.CV | 2021-08-13 |
| 1000 | MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for Image to Illustration Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a Multi-IlluStrator Style Generative Adversarial Network (MISS GAN) that is a multi-style framework for unsupervised image-to-illustration translation, which can generate styled yet content preserving images. |
Noa Barzilay; Tal Berkovitz Shalev; Raja Giryes; | arxiv-cs.CV | 2021-08-12 |
| 1001 | Unknown Object Segmentation Through Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a sim-to-real framework to transfer the object segmentation model learned in simulation to the real-world. |
Yiting Chen; Chenguang Yang; Miao Li; | arxiv-cs.RO | 2021-08-09 |
| 1002 | Volumetric Appearance Stylization with Stylizing Kernel Prediction Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to efficiently construct the volume of heterogeneous single-scattering albedo for a given medium that would lead to desired color appearance. |
JIE GUO et. al. | siggraph | 2021-08-06 |
| 1003 | Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a counterfactual-based method to modify the latent representation, by posing a ‘what-if’ scenario. |
Sharmila Reddy Nangi; Niyati Chhaya; Sopan Khosla; Nikhil Kaushik; Harshit Nyati; | acl | 2021-07-26 |
| 1004 | AFF-UNIT: Adaptive Feature Fusion for Unsupervised Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuqiang Li; Haochen Meng; Hong Lin; Chun Liu; | IET Image Process. | 2021-07-23 |
| 1005 | Image-to-Image Translation with Low Resolution Conditioning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we consider the scenario where the target image has a very low resolution. |
Mohamed Abderrahmen Abid; Ihsen Hedhli; Jean-François Lalonde; Christian Gagne; | arxiv-cs.CV | 2021-07-23 |
| 1006 | AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formally introduce the task of Sign Language Video Anonymisation (SLVA) as an automatic method to anonymise the visual appearance of a sign language video whilst retaining the meaning of the original sign language sequence. |
Ben Saunders; Necati Cihan Camgoz; Richard Bowden; | arxiv-cs.CV | 2021-07-22 |
| 1007 | Human Pose Transfer with Augmented Disentangled Feature Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate the current limitations and improve the quality of the synthesized images, we propose a pose transfer network with augmented Disentangled Feature Consistency (DFC-Net) to facilitate human pose transfer. |
KUN WU et. al. | arxiv-cs.CV | 2021-07-22 |
| 1008 | Taylor‐RNet: An Approach for Image Forgery Detection Using Taylor‐adaptive Rag‐bull Rider‐based Deep Convolutional Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the use of powerful computers and advanced software for photo editing, image manipulation in digital images simply degrades the trust in digital images. Image forensic … |
V. Vinolin; M. Sucharitha; | International Journal of Intelligent Systems | 2021-07-21 |
| 1009 | Level Generation and Style Enhancement — Deep Learning for Game Development Overview Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present practical approaches of using deep learning to create and enhance level maps and textures for video games — desktop, mobile, and web. |
Piotr Migdał; Bartłomiej Olechno; Błażej Podgórski; | arxiv-cs.CV | 2021-07-15 |
| 1010 | Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead, we propose to use landmark detection on the points when sutures pass into the tissue. |
LALITH SHARAN et. al. | arxiv-cs.CV | 2021-07-14 |
| 1011 | SinIR: Efficient General Image Manipulation with Single Image Reconstruction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SinIR, an efficient reconstruction-based framework trained on a single natural image for general image manipulation, including super-resolution, editing, harmonization, paint-to-image, photo-realistic style transfer, and artistic style transfer. |
Jihyeong Yoo; Qifeng Chen; | icml | 2021-07-08 |
| 1012 | Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose (i) foreground-aware image stylization and (ii) consensus pseudo-labeling for domain adaptation of hand segmentation. |
Takehiko Ohkawa; Takuma Yagi; Atsushi Hashimoto; Yoshitaka Ushiku; Yoichi Sato; | arxiv-cs.CV | 2021-07-06 |
| 1013 | Intrinsic Image Transfer for Illumination Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel intrinsic image transfer (IIT) algorithm for illumination manipulation, which creates a local image translation between two illumination surfaces. |
Junqing Huang; Michael Ruzhansky; Qianying Zhang; Haihui Wang; | arxiv-cs.CV | 2021-07-01 |
| 1014 | Indoor Camera Pose Estimation Via Style‐transfer 3D Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Many vision‐based indoor localization methods require tedious and comprehensive pre‐mapping of built environments. This research proposes a mapping‐free approach to estimating … |
Junjie Chen; Shuai Li; Donghai Liu; Weisheng Lu; | Computer‐Aided Civil and Infrastructure Engineering | 2021-06-28 |
| 1015 | Robust Pose Transfer with Dynamic Details Using Neural Video Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we demonstrate that the dynamic details can be preserved even trained from short monocular videos. |
YANG-TIAN SUN et. al. | arxiv-cs.CV | 2021-06-26 |
| 1016 | CAMS: Color-Aware Multi-Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a color-aware multi-style transfer method that generates aesthetically pleasing results while preserving the style-color correlation between style and generated images. |
Mahmoud Afifi; Abdullah Abuolaim; Mostafa Hussien; Marcus A. Brubaker; Michael S. Brown; | arxiv-cs.CV | 2021-06-25 |
| 1017 | Unbalanced Feature Transport for Exemplar-based Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a general image translation framework that incorporates optimal transport for feature alignment between conditional inputs and style exemplars in image translation. |
FANGNENG ZHAN et. al. | arxiv-cs.CV | 2021-06-19 |
| 1018 | Improving Performance of Seen and Unseen Speech Style Transfer in End-to-end Neural TTS Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new approach to style transfer for both seen and unseen styles, with disjoint, multi-style datasets, i.e., datasets of different styles are recorded, each individual style is by one speaker with multiple utterances. |
Xiaochun An; Frank K. Soong; Lei Xie; | arxiv-cs.SD | 2021-06-18 |
| 1019 | Federated CycleGAN for Privacy-Preserving Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this, here we propose a novel federated CycleGAN architecture that can learn image translation in an unsupervised manner while maintaining the data privacy. |
Joonyoung Song; Jong Chul Ye; | arxiv-cs.CV | 2021-06-17 |
| 1020 | Tactile Sim-to-Real Policy Transfer Via Real-to-Sim Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a suite of simulated environments tailored towards tactile robotics and reinforcement learning. |
Alex Church; John Lloyd; Raia Hadsell; Nathan F. Lepora; | arxiv-cs.RO | 2021-06-16 |
| 1021 | Smoothing The Disentangled Latent Style Space for Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new training protocol based on three specific losses which help a translation network to learn a smooth and disentangled latent style space in which: 1) Both intra- and inter-domain interpolations correspond to gradual changes in the generated images and 2) The content of the source image is better preserved during the translation. |
YAHUI LIU et. al. | arxiv-cs.CV | 2021-06-16 |
| 1022 | Inverting Adversarially Robust Networks for Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite unconditional feature inversion being the foundation of many image synthesis applications, training an inverter demands a high computational budget, large decoding capacity and imposing conditions such as autoregressive priors. To address these limitations, we propose the use of adversarially robust representations as a perceptual primitive for feature inversion. |
Renan A. Rojas-Gomez; Raymond A. Yeh; Minh N. Do; Anh Nguyen; | arxiv-cs.CV | 2021-06-13 |
| 1023 | One Shot Face Swapping on Megapixels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes the first Megapixel level method for one shot Face Swapping (or MegaFS for short). |
Yuhao Zhu; Qi Li; Jian Wang; Cheng-Zhong Xu; Zhenan Sun; | cvpr | 2021-06-11 |
| 1024 | Image-to-Image Translation Via Hierarchical Style Disentanglement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Hierarchical Style Disentanglement (HiSD) to address this issue. |
XINYANG LI et. al. | cvpr | 2021-06-11 |
| 1025 | ArtFlow: Unbiased Image Style Transfer Via Reversible Neural Flows IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose ArtFlow to prevent content leak during universal style transfer. |
JIE AN et. al. | cvpr | 2021-06-11 |
| 1026 | Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper therefore presents a complete protection framework in both black-box and white-box settings to enforce IPR protection on GANs. |
Ding Sheng Ong; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang; | cvpr | 2021-06-11 |
| 1027 | Rethinking and Improving The Robustness of Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By performing extensive experiments with different network architectures, we find that residual connections, which represent the main architectural difference between VGG and ResNet, produce feature maps of small entropy, which are not suitable for style transfer. |
Pei Wang; Yijun Li; Nuno Vasconcelos; | cvpr | 2021-06-11 |
| 1028 | Region-Aware Adaptive Instance Normalization for Image Harmonization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem. |
Jun Ling; Han Xue; Li Song; Rong Xie; Xiao Gu; | cvpr | 2021-06-11 |
| 1029 | PISE: Person Image Synthesis and Editing With Decoupled GAN IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose PISE, a novel two-stage generative model for person image synthesis and editing, which can generate realistic person images with desired poses, textures, and semantic layouts. |
Jinsong Zhang; Kun Li; Yu-Kun Lai; Jingyu Yang; | cvpr | 2021-06-11 |
| 1030 | How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper shows that a significant amount of information about the 3D scene geometry is preserved in these line clouds, allowing us to (approximately) recover the 3D point positions and thus to (approximately) recover image content. |
Kunal Chelani; Fredrik Kahl; Torsten Sattler; | cvpr | 2021-06-11 |
| 1031 | Single-Shot Freestyle Dance Reenactment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel method that can reanimate a single image by arbitrary video sequences, unseen during training. |
Oran Gafni; Oron Ashual; Lior Wolf; | cvpr | 2021-06-11 |
| 1032 | Memory-Guided Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel unsupervised framework for instance-level image-to-image translation. |
Somi Jeong; Youngjung Kim; Eungbean Lee; Kwanghoon Sohn; | cvpr | 2021-06-11 |
| 1033 | Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the common painting process of drawing a draft and revising the details, we introduce a novel feed-forward method Laplacian Pyramid Network (LapStyle). |
TIANWEI LIN et. al. | cvpr | 2021-06-11 |
| 1034 | Autoregressive Stylized Motion Synthesis With Generative Flow IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an unsupervised approach for motion style transfer by synthesizing stylized motions autoregressively using a generative flow model M. M is trained to maximize the exact likelihood of a collection of unlabeled motions, based on an autoregressive context of poses in previous frames and a control signal representing the movement of a root joint. |
YU-HUI WEN et. al. | cvpr | 2021-06-11 |
| 1035 | Stylized Neural Painting IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles. |
Zhengxia Zou; Tianyang Shi; Shuang Qiu; Yi Yuan; Zhenwei Shi; | cvpr | 2021-06-11 |
| 1036 | In The Light of Feature Distributions: Moment Matching for Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that matches the distributions more precisely, thus reproducing the desired style more faithfully, while still being computationally efficient. |
Nikolai Kalischek; Jan D. Wegner; Konrad Schindler; | cvpr | 2021-06-11 |
| 1037 | Co-Attention for Conditioned Image Matching IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach to determine correspondences between image pairs in the wild under large changes in illumination, viewpoint, context, and material. |
Olivia Wiles; Sebastien Ehrhardt; Andrew Zisserman; | cvpr | 2021-06-11 |
| 1038 | Learning To Warp for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our contribution is to propose a neural network that, uniquely, learns a mapping from a 4D array of inter-feature distances to a non-parametric 2D warp field. |
Xiao-Chang Liu; Yong-Liang Yang; Peter Hall; | cvpr | 2021-06-11 |
| 1039 | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. |
Dmytro Kotovenko; Matthias Wright; Arthur Heimbrecht; Bjorn Ommer; | cvpr | 2021-06-11 |
| 1040 | DualAST: Dual Style-Learning Networks for Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle this problem, we propose a novel Dual Style-Learning Artistic Style Transfer (DualAST) framework to learn simultaneously both the holistic artist-style (from a collection of artworks) and the specific artwork-style (from a single style image): the artist-style sets the tone (i.e., the overall feeling) for the stylized image, while the artwork-style determines the details of the stylized image, such as color and texture. |
HAIBO CHEN et. al. | cvpr | 2021-06-11 |
| 1041 | What Can Style Transfer and Paintings Do for Model Robustness? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we study how style transfer and paintings differ in their impact on model robustness. |
Hubert Lin; Mitchell van Zuijlen; Sylvia C. Pont; Maarten W.A. Wijntjes; Kavita Bala; | cvpr | 2021-06-11 |
| 1042 | Progressive Semantic-Aware Style Transformation for Blind Face Restoration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new progressive semantic-aware style transformation framework, named PSFR-GAN, for face restoration. |
CHAOFENG CHEN et. al. | cvpr | 2021-06-11 |
| 1043 | Unpaired Image-to-Image Translation Via Latent Energy Transport IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to deploy an energy-based model (EBM) in the latent space of a pretrained autoencoder for this task. |
Yang Zhao; Changyou Chen; | cvpr | 2021-06-11 |
| 1044 | Style-Aware Normalized Loss for Improving Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We systematically study the cause of this imbalanced style transferability (IST) and propose a simple yet effective solution to mitigate this issue. |
Jiaxin Cheng; Ayush Jaiswal; Yue Wu; Pradeep Natarajan; Prem Natarajan; | cvpr | 2021-06-11 |
| 1045 | Adaptive Convolutions for Structure-Aware Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Adaptive Convolutions (AdaConv), a generic extension of AdaIN, to allow for the simultaneous transfer of both statistical and structural styles in real time. |
Prashanth Chandran; Gaspard Zoss; Paulo Gotardo; Markus Gross; Derek Bradley; | cvpr | 2021-06-11 |
| 1046 | MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To deal with this problem, we propose a novel multi-level statistics transfer model, which disentangles and transfers multi-level appearance features from person images and merges them with pose features to reconstruct the source person images themselves. |
Tianxiang Ma; Bo Peng; Wei Wang; Jing Dong; | cvpr | 2021-06-11 |
| 1047 | Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a generic image-to-image translation framework, pixel2style2pixel (pSp). |
ELAD RICHARDSON et. al. | cvpr | 2021-06-11 |
| 1048 | GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!) IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show how to learn a map that takes a content code, derived from a face image, and a randomly chosen style code to an anime image. |
Min Jin Chong; David Forsyth; | arxiv-cs.CV | 2021-06-11 |
| 1049 | Learning Semantic Person Image Generation By Region-Adaptive Normalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a new two-stage framework to handle the pose and appearance translation. |
ZHENGYAO LV et. al. | cvpr | 2021-06-11 |
| 1050 | Visualizing Adapted Knowledge in Domain Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To enforce similar outputs from the two branches and depict the adapted knowledge, we propose a source-free image translation method that generates source-style images using only target images and the two models. |
Yunzhong Hou; Liang Zheng; | cvpr | 2021-06-11 |
| 1051 | Saliency-Guided Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel task for saliency-guided image translation, with the goal of image-to-image translation conditioned on the user specified saliency map. |
Lai Jiang; Mai Xu; Xiaofei Wang; Leonid Sigal; | cvpr | 2021-06-11 |
| 1052 | A Review of Human Evaluation for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservation, and fluency. |
Eleftheria Briakou; Sweta Agrawal; Ke Zhang; Joel Tetreault; Marine Carpuat; | arxiv-cs.CL | 2021-06-08 |
| 1053 | Scaling Up An Unsupervised Image-to-Image Translation Framework from Basic to Complex Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised image-to-image translation methods have received a lot of attention in the last few years. Multiple techniques emerged to tackle the initial challenge from different … |
Luca Barras; Samuel Chassot; D. Silva; | American Journal of Computer Science and Technology | 2021-06-07 |
| 1054 | Self-Supervised Learning of Domain Invariant Features for Depth Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel training strategy to force the task network to learn domain invariant representations in a selfsupervised manner. |
Hiroyasu Akada; Shariq Farooq Bhat; Ibraheem Alhashim; Peter Wonka; | arxiv-cs.CV | 2021-06-04 |
| 1055 | Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, they fail to deal with region-specific texture-transfer tasks, especially for person images with complex textures. To solve this problem, we propose a novel Spatially-Adaptive Warped Normalization (SAWN) which integrates a learned flow-field to warp modulation parameters. |
JICHAO ZHANG et. al. | arxiv-cs.CV | 2021-05-31 |
| 1056 | Language-Driven Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new task, language-driven artistic style transfer (LDAST), to manipulate the style of a content image, guided by a text. |
Tsu-Jui Fu; Xin Eric Wang; William Yang Wang; | arxiv-cs.CV | 2021-05-31 |
| 1057 | StyTr$^2$: Image Style Transfer with Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, traditional neural style transfer methods face biased content representation. To address this critical issue, we take long-range dependencies of input images into account for image style transfer by proposing a transformer-based approach called StyTr$^2$. |
YINGYING DENG et. al. | arxiv-cs.CV | 2021-05-30 |
| 1058 | FReTAL: Generalizing Deepfake Detection Using Knowledge Distillation and Representation Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we employ the Representation Learning (ReL) and Knowledge Distillation (KD) paradigms to introduce a transfer learning-based Feature Representation Transfer Adaptation Learning (FReTAL) method. |
Minha Kim; Shahroz Tariq; Simon S. Woo; | arxiv-cs.CV | 2021-05-28 |
| 1059 | MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Leveraging this memory-efficient alternative to self-attention, we propose a new exploratory model in unpaired image-to-image translation called MixerGAN: a simpler MLP-based architecture that considers long-distance relationships between pixels without the need for expensive attention mechanisms. |
George Cazenavette; Manuel Ladron De Guevara; | arxiv-cs.CV | 2021-05-28 |
| 1060 | Stylizing 3D Scene Via Implicit Representation and HyperNetwork IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to address the 3D scene stylization problem – generating stylized images of the scene at arbitrary novel view angles. |
Pei-Ze Chiang; Meng-Shiun Tsai; Hung-Yu Tseng; Wei-sheng Lai; Wei-Chen Chiu; | arxiv-cs.CV | 2021-05-27 |
| 1061 | PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address the makeup transfer and removal tasks simultaneously, which aim to transfer the makeup from a reference image to a source image and remove the makeup from the with-makeup image respectively. |
SI LIU et. al. | arxiv-cs.CV | 2021-05-26 |
| 1062 | Ol�, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian. |
Eleftheria Briakou; Di Lu; Ke Zhang; Joel Tetreault; | naacl | 2021-05-23 |
| 1063 | Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Style-Restricted GAN (SRGAN) to demonstrate the importance of controlling the encoded features used in style diversifying process. |
Sho Inoue; Tad Gonsalves; | arxiv-cs.CV | 2021-05-17 |
| 1064 | Bridging Unpaired Facial Photos and Sketches By Line-Drawings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method to learn face sketch synthesis models by using unpaired data. |
M. Shang; F. Gao; X. Li; J. Zhu; L. Dai; | icassp | 2021-05-16 |
| 1065 | Self-Supervised VQ-VAE for One-Shot Music Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we are specifically interested in the problem of one-shot timbre transfer. |
O. C�fka; A. Ozerov; U. Simsekli; G. Richard; | icassp | 2021-05-16 |
| 1066 | Light Field Style Transfer with Local Angular Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel optimization-based method for light field style transfer which iteratively propagates the style from the centre view towards the outer views while enforcing local angular consistency. |
D. Egan; M. Alain; A. Smolic; | icassp | 2021-05-16 |
| 1067 | TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new transfer learning for I2I translation (TransferI2I). |
Yaxing Wang; Hector Laria Mantecon; Joost van de Weijer; Laura Lopez-Fuentes; Bogdan Raducanu; | arxiv-cs.CV | 2021-05-13 |
| 1068 | SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by these observations, this paper aims to combine the best of both worlds: self-attention and normalization. |
Aaditya Singh; Shreeshail Hingane; Xinyu Gong; Zhangyang Wang; | arxiv-cs.CV | 2021-05-13 |
| 1069 | Let There Be Light: Improved Traffic Surveillance Via Detail Preserving Night-to-Day Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a framework to alleviate the accuracy decline when object detection is taken to adverse conditions by using image translation method. |
LAN FU et. al. | arxiv-cs.CV | 2021-05-11 |
| 1070 | One Shot Face Swapping on Megapixels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes the first Megapixel level method for one shot Face Swapping (or MegaFS for short). |
Yuhao Zhu; Qi Li; Jian Wang; Chengzhong Xu; Zhenan Sun; | arxiv-cs.CV | 2021-05-11 |
| 1071 | Contrastive Learning for Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose an unsupervised image-to-image translation method based on contrastive learning. |
Hanbit Lee; Jinseok Seol; Sang-goo Lee; | arxiv-cs.CV | 2021-05-07 |
| 1072 | Conditional Invertible Neural Networks for Diverse Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. |
LYNTON ARDIZZONE et. al. | arxiv-cs.CV | 2021-05-05 |
| 1073 | LiveStyle — An Application to Transfer Artistic Styles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper implements the Style Transfer using three different Neural Networks in form of an application that is accessible to the general population thereby reviving interest in lost art styles. |
Amogh G. Warkhandkar; Omkar B. Bhambure; | arxiv-cs.SE | 2021-05-03 |
| 1074 | Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel method to address this problem by applying knowledge distillation together with distillation of a semantic relation preserving matrix. |
Zeqi Li; Ruowei Jiang; Parham Aarabi; | arxiv-cs.CV | 2021-04-30 |
| 1075 | Exemplar-Based 3D Portrait Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first framework for one-shot 3D portrait style transfer, which can generate 3D face models with both the geometry exaggerated and the texture stylized while preserving the identity from the original content. |
Fangzhou Han; Shuquan Ye; Mingming He; Menglei Chai; Jing Liao; | arxiv-cs.CV | 2021-04-29 |
| 1076 | Towards Harmonized Regional Style Transfer and Manipulation for Facial Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the problem of harmonized regional style transfer and manipulation for facial images. |
Cong Wang; Fan Tang; Yong Zhang; Weiming Dong; Tieru Wu; | arxiv-cs.MM | 2021-04-29 |
| 1077 | Pose-driven Attention-guided Image Generation for Person Re-Identification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve this issue, in this paper we propose an end-to-end pose-driven attention-guided generative adversarial network, to generate multiple poses of a person. |
Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes; | arxiv-cs.CV | 2021-04-28 |
| 1078 | SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we design a novel DAE model named Style-Enhanced DAE (SE-DAE), which is specifically designed for the text style transfer task. |
Jicheng Li; Yang Feng; Jiao Ou; | arxiv-cs.CL | 2021-04-27 |
| 1079 | NTIRE 2021 Depth Guided Image Relighting Challenge IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we review the NTIRE 2021 depth guided image relighting challenge. |
Majed El Helou; Ruofan Zhou; Sabine Susstrunk; Radu Timofte; | arxiv-cs.CV | 2021-04-27 |
| 1080 | Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show the first model extraction attack against real-world generative adversarial network (GAN) image translation models. We present a framework for conducting such attacks, and show that an adversary can successfully extract functional surrogate models by querying $F_V$ using data from the same domain as the training data for $F_V$. |
Sebastian Szyller; Vasisht Duddu; Tommi Gröndahl; N. Asokan; | arxiv-cs.LG | 2021-04-26 |
| 1081 | Dual Contrastive Learning for Unsupervised Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method based on contrastive learning and a dual learning setting (exploiting two encoders) to infer an efficient mapping between unpaired data. |
Junlin Han; Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin; | arxiv-cs.CV | 2021-04-15 |
| 1082 | Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks. |
Aiyu Cui; Daniel McKee; Svetlana Lazebnik; | arxiv-cs.CV | 2021-04-14 |
| 1083 | UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel unpaired image-to-image translation method that uses denoising diffusion probabilistic models without requiring adversarial training. |
Hiroshi Sasaki; Chris G. Willcocks; Toby P. Breckon; | arxiv-cs.CV | 2021-04-12 |
| 1084 | Multi-View Image-to-Image Translation Supervised By 3D Pose Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We address the task of multi-view image-to-image translation for person image generation. |
Idit Diamant; Oranit Dror; Hai Victor Habi; Arnon Netzer; | arxiv-cs.CV | 2021-04-12 |
| 1085 | Diamond in The Rough: Improving Image Realism By Traversing The GAN Latent Space Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Formally, we present an unsupervised method to find a direction in the latent space that aligns with improved photo-realism. |
Jeffrey Wen; Fabian Benitez-Quiroz; Qianli Feng; Aleix Martinez; | arxiv-cs.CV | 2021-04-12 |
| 1086 | Instagram Filter Removal on Fashionable Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Instagram Filter Removal Network (IFRNet) to mitigate the effects of image filters for social media analysis applications. |
Furkan Kınlı; Barış Özcan; Furkan Kıraç; | arxiv-cs.CV | 2021-04-11 |
| 1087 | XFORMAL: A Benchmark for Multilingual Formality Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian. |
Eleftheria Briakou; Di Lu; Ke Zhang; Joel Tetreault; | arxiv-cs.CL | 2021-04-08 |
| 1088 | Image-based Virtual Fitting Room Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this project, we propose a novel approach to address this problem. |
Zhiling Huang; Junwen Bu; Jie Chen; | arxiv-cs.CV | 2021-04-08 |
| 1089 | Jekyll: Attacking Medical Image Diagnostics Using Deep Generative Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present the design and implementation of a DNN-based image translation attack on biomedical imagery. |
Neal Mangaokar; Jiameng Pu; Parantapa Bhattacharya; Chandan K. Reddy; Bimal Viswanath; | arxiv-cs.CR | 2021-04-05 |
| 1090 | In&Out : Diverse Image Outpainting Via GAN Inversion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we formulate the problem from the perspective of inverting generative adversarial networks. |
YEN-CHI CHENG et. al. | arxiv-cs.CV | 2021-04-01 |
| 1091 | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. |
Dmytro Kotovenko; Matthias Wright; Arthur Heimbrecht; Björn Ommer; | arxiv-cs.CV | 2021-03-31 |
| 1092 | Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach which combines unpaired image translation with neural rendering to transfer simulated to photorealistic surgical abdominal scenes. |
DOMINIK RIVOIR et. al. | arxiv-cs.CV | 2021-03-31 |
| 1093 | StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore leveraging the power of recently introduced Contrastive Language-Image Pre-training (CLIP) models in order to develop a text-based interface for StyleGAN image manipulation that does not require such manual effort. |
Or Patashnik; Zongze Wu; Eli Shechtman; Daniel Cohen-Or; Dani Lischinski; | arxiv-cs.CV | 2021-03-31 |
| 1094 | Spatial Content Alignment For Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework Spatial Content Alignment GAN (SCAGAN) which aims to enhance the content consistency of garment textures and the details of human characteristics. |
Wing-Yin Yu; Lai-Man Po; Yuzhi Zhao; Jingjing Xiong; Kin-Wai Lau; | arxiv-cs.CV | 2021-03-31 |
| 1095 | Remote Sensing Image Translation Via Style-Based Recalibration Module and Improved Style Discriminator IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this letter, we proposed an image translation method to solve the problem. |
Tiange Zhang; Feng Gao; Junyu Dong; Qian Du; | arxiv-cs.CV | 2021-03-29 |
| 1096 | Evaluation of Correctness in Unsupervised Many-to-Many Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a set of benchmarks and metrics for the evaluation of semantic correctness of these methods. |
Dina Bashkirova; Ben Usman; Kate Saenko; | arxiv-cs.CV | 2021-03-29 |
| 1097 | A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a shape-aware approach based on a hybrid image-based rendering technique that exhibits competitive visual retargeting quality compared to state-of-the-art neural rendering approaches. We also present a new video retargeting benchmark dataset composed of different videos with annotated human motions to evaluate the task of synthesizing people’s videos, which can be used as a common base to improve tracking the progress in the field. |
THIAGO L. GOMES et. al. | arxiv-cs.CV | 2021-03-29 |
| 1098 | AlignMixup: Improving Representations By Interpolating Aligned Features IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we revisit mixup from the interpolation perspective and introduce AlignMix, where we geometrically align two images in the feature space. |
Shashanka Venkataramanan; Ewa Kijak; Laurent Amsaleg; Yannis Avrithis; | arxiv-cs.CV | 2021-03-29 |
| 1099 | Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, in this paper, we propose an attention mechanism that aggregates features in the left and right views, called Stereoscopic Cross Attention (SCA). |
Hiroki Sakuma; Yoshinori Konishi; | arxiv-cs.CV | 2021-03-26 |
| 1100 | Multiple GAN Inversion for Exemplar-based Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to overcome this limitation, we propose Multiple GAN Inversion for Exemplar-based Image-to-Image Translation. |
Taewon Kang; | arxiv-cs.CV | 2021-03-26 |
| 1101 | Progressive and Aligned Pose Attention Transfer for Person Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. |
ZHEN ZHU et. al. | arxiv-cs.CV | 2021-03-22 |
| 1102 | Towards Ultra-Resolution Neural Style Transfer Via Thumbnail Instance Normalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an extremely simple Ultra-Resolution Style Transfer framework, termed URST, to flexibly process arbitrary high-resolution images (e.g., 10000×10000 pixels) style transfer for the first time. |
Zhe Chen; Wenhai Wang; Enze Xie; Tong Lu; Ping Luo; | arxiv-cs.CV | 2021-03-22 |
| 1103 | Image Synthesis for Data Augmentation in Medical CT Using Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to overcome this bottleneck via a deep reinforcement learning (DRL) approach that is integrated with a style-transfer (ST) methodology, where the DRL generates the anatomical shapes and the ST synthesizes the texture detail. |
ARJUN KRISHNA et. al. | arxiv-cs.CV | 2021-03-18 |
| 1104 | Large Scale Image Completion Via Co-Modulated Generative Adversarial Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome this challenge, we propose a generic new approach that bridges the gap between image-conditional and recent modulated unconditional generative architectures via co-modulation of both conditional and stochastic style representations. |
SHENGYU ZHAO et. al. | arxiv-cs.CV | 2021-03-18 |
| 1105 | Learning Long Term Style Preserving Blind Video Temporal Consistency IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When trying to independently apply image-trained algorithms to successive frames in videos, noxious flickering tends to appear. State-of-the-art post-processing techniques that … |
Hugo Thimonier; Julien Despois; Robin Kips; M. Perrot; | 2021 IEEE International Conference on Multimedia and Expo … | 2021-03-12 |
| 1106 | Learning Long-Term Style-Preserving Blind Video Temporal Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a postprocessing model, agnostic to the transformation applied to videos (e.g. style transfer, image manipulation using GANs, etc.), in the form of a recurrent neural network. |
Hugo Thimonier; Julien Despois; Robin Kips; Matthieu Perrot; | arxiv-cs.CV | 2021-03-12 |
| 1107 | In The Light of Feature Distributions: Moment Matching for Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that matches the distributions more precisely, thus reproducing the desired style more faithfully, while still being computationally efficient. |
Nikolai Kalischek; Jan Dirk Wegner; Konrad Schindler; | arxiv-cs.CV | 2021-03-12 |
| 1108 | CoMoGAN: Continuous Model-guided Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, which together disentangle image content from position on target manifold. |
Fabio Pizzati; Pietro Cerri; Raoul de Charette; | arxiv-cs.CV | 2021-03-11 |
| 1109 | HumanGAN: A Generative Model of Humans Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We address these limitations and present a generative model for images of dressed humans offering control over pose, local body part appearance and garment style. |
Kripasindhu Sarkar; Lingjie Liu; Vladislav Golyanik; Christian Theobalt; | arxiv-cs.CV | 2021-03-11 |
| 1110 | Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a new task is proposed, namely, weather translation, which refers to transferring weather conditions of the image from one category to another. |
Xuelong Li; Kai Kou; Bin Zhao; | arxiv-cs.CV | 2021-03-09 |
| 1111 | Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, the effects of image compression on face image manipulation detection are analyzed. |
Christian Rathgeb; Kevin Bernardo; Nathania E. Haryanto; Christoph Busch; | arxiv-cs.CV | 2021-03-05 |
| 1112 | Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Sandwich Batch Normalization (SaBN), a frustratingly easy improvement of Batch Normalization (BN) with only a few lines of code changes. |
Xinyu Gong; Wuyang Chen; Tianlong Chen; Zhangyang Wang; | arxiv-cs.CV | 2021-02-22 |
| 1113 | Hiding Data Hiding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In detail, we propose a novel method to disguise data hiding tools, including a data embedding tool and a data extraction tool, as a deep neural network (DNN) with an ordinary task (i.e., style transfer). |
Hanzhou Wu; Gen Liu; Xinpeng Zhang; | arxiv-cs.CR | 2021-02-12 |
| 1114 | Frame Difference-Based Temporal Loss for Video Stylization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a much simpler temporal loss called the frame difference-based (FDB) loss to solve the temporal inconsistency problem. |
Jianjin Xu; Zheyang Xiong; Xiaolin Hu; | arxiv-cs.CV | 2021-02-10 |
| 1115 | Self-Supervised VQ-VAE for One-Shot Music Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we are specifically interested in the problem of one-shot timbre transfer. |
Ondřej Cífka; Alexey Ozerov; Umut Şimşekli; Gaël Richard; | arxiv-cs.SD | 2021-02-10 |
| 1116 | Deep Style Transfer for Line Drawings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With this finding, we propose to formulate the style transfer problem as a centerline stylization problem and solve it via a novel style-guided image-to-image translation network. |
Xueting Liu; Wenliang Wu; Huisi Wu; Zhenkun Wen; | aaai | 2021-02-09 |
| 1117 | Translate The Facial Regions You Like Using Self-Adaptive Region Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel self-adaptive region translation network (SART) for region-level translation, which uses region-adaptive instance normalization (RIN) and a region matching loss (RML) for this task. |
Wenshuang Liu; Wenting Chen; Zhanjia Yang; Linlin Shen; | aaai | 2021-02-09 |
| 1118 | Analogical Image Translation for Fog Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim at adding adverse weather effects, more specifically fog, to images taken in clear weather. |
RUI GONG et. al. | aaai | 2021-02-09 |
| 1119 | Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a bidirectional style-induced domain adaptation method, called BiSIDA, that employs consistency regularization to efficiently exploit information from the unlabeled target domain dataset, requiring only a simple neural style transfer model. |
Kaihong Wang; Chenhongyi Yang; Margrit Betke; | aaai | 2021-02-09 |
| 1120 | Arbitrary Video Style Transfer Via Multi-Channel Correlation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Towards this end, we propose a Multi-Channel Correlation network (MCCNet), which can be trained to fuse exemplar style features and input content features for efficient style transfer while naturally maintaining the coherence of input videos to output videos. |
YINGYING DENG et. al. | aaai | 2021-02-09 |
| 1121 | Self-Supervised Sketch-to-Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike previous methods that either require the sketch-image pairs or utilize low-quantity detected edges as sketches, we study the exemplar-based sketch-to-image (s2i) synthesis task in a self-supervised learning manner, eliminating the necessity of the paired sketch data. |
Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal; | aaai | 2021-02-09 |
| 1122 | Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper therefore presents a complete protection framework in both black-box and white-box settings to enforce IPR protection on GANs. |
Ding Sheng Ong; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang; | arxiv-cs.CR | 2021-02-08 |
| 1123 | Bridging Unpaired Facial Photos And Sketches By Line-drawings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method to learn face sketch synthesis models by using unpaired data. |
Meimei Shang; Fei Gao; Xiang Li; Jingjie Zhu; Lingna Dai; | arxiv-cs.CV | 2021-01-31 |
| 1124 | Resolution Enhancement in The Recovery of Underdrawings Via Style Transfer By Generative Adversarial Deep Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We apply generative adversarial convolutional neural networks to the problem of style transfer to underdrawings and ghost-images in x-rays of fine art paintings with a special focus on enhancing their spatial resolution. |
George Cann; Anthony Bourached; Ryan-Rhys Griffiths; David Stork; | arxiv-cs.CV | 2021-01-30 |
| 1125 | CGANs for Cartoon to Real-life Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This project aims to evaluate the robustness of the Pix2Pix model by applying the Pix2Pix model to datasets consisting of cartoonized images. |
Pranjal Singh Rajput; Kanya Satis; Sonnya Dellarosa; Wenxuan Huang; Obinna Agba; | arxiv-cs.CV | 2021-01-24 |
| 1126 | Image-to-Image Translation: Methods and Applications IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide an overview of the I2I works developed in recent years. |
Yingxue Pang; Jianxin Lin; Tao Qin; Zhibo Chen; | arxiv-cs.CV | 2021-01-21 |
| 1127 | Wasserstein-2 Generative Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new end-to-end algorithm to compute optimal transport maps between continuous distributions without introducing bias or resorting to minimax optimization. |
Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Alexander Safin; Evgeny Burnaev; | iclr | 2021-01-21 |
| 1128 | Decoupling Global and Local Representations Via Invertible Generative Flows IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Generative Flow for Decoupled Representation Learning |
Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H Hovy; | iclr | 2021-01-21 |
| 1129 | Large Scale Image Completion Via Co-Modulated Generative Adversarial Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Bridging the gap between between image-conditional and unconditional GAN architectures via co-modulation |
SHENGYU ZHAO et. al. | iclr | 2021-01-21 |
| 1130 | Empirical Evaluation of Supervision Signals for Style Transfer Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we empirically compare the dominant optimization paradigms which provide supervision signals during training: backtranslation, adversarial training and reinforcement learning. |
Yevgeniy Puzikov; Simoes Stanley; Iryna Gurevych; Immanuel Schweizer; | arxiv-cs.CL | 2021-01-15 |
| 1131 | Neural Re-Rendering of Humans from A Single Image IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, we propose a new method for neural re-rendering of a human under a novel user-defined pose and viewpoint, given one input image. |
Kripasindhu Sarkar; Dushyant Mehta; Weipeng Xu; Vladislav Golyanik; Christian Theobalt; | arxiv-cs.CV | 2021-01-11 |
| 1132 | Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This research is intended to create a solution using the Cycle Generative Adversarial Networks (GANs) algorithm in overcoming the problem of lack of data. |
Anugrah Akbar Praramadhan; Guntur Eka Saputra; | arxiv-cs.CV | 2021-01-11 |
| 1133 | Deliberation on Object-aware Video Style Transfer Network with Long–short Temporal and Depth-consistent Constraints Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yunxin Liu; Aiwen Jiang; Jiancheng Pan; Jianming Liu; Jihua Ye; | Neural Computing and Applications | 2021-01-04 |
| 1134 | Shed Various Lights On A Low-Light Image: Multi-Level Enhancement Guided By Arbitrary References Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a neural network for multi-level low-light image enhancement, which is user-friendly to meet various requirements by selecting different images as brightness reference. |
YA’NAN WANG et. al. | arxiv-cs.CV | 2021-01-04 |
| 1135 | Emotion Transfer for 3D Hand and Full Body Motion Using StarGAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a new data-driven framework for 3D hand and full-body motion emotion transfer. Specifically, we formulate the motion synthesis task as an image-to-image … |
Jacky C. P. Chan; Edmond S. L. Ho; | Comput. | 2021-01-01 |
| 1136 | Unsupervised Text Style Transfer with Content Embeddings Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The style transfer task (here style is used in a broad “authorial” sense with many aspects including register, sentence structure, and vocabulary choice) takes text input and … |
Keith Carlson; Allen Riddell; Daniel Rockmore; | 2021-01-01 | |
| 1137 | Improving Domain Generalization in Segmentation Models with Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generalizing automated medical image segmentation methods to new image domains is inherently difficult. We have previously developed a number of automated segmentation methods … |
Timothy L. Kline; | 2021 IEEE 18th International Symposium on Biomedical … | 2021-01-01 |
| 1138 | Image Style Transfer for Autonomous Multi-robot Systems Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hua Huang; Xinxin Liu; Rong Yang; | Inf. Sci. | 2021-01-01 |
| 1139 | Structural Analogy from A Single Image Pair IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The task of unsupervised image‐to‐image translation has seen substantial advancements in recent years through the use of deep neural networks. Typically, the proposed solutions … |
Sagie Benaim; Ron Mokady; Amit Bermano; Daniel Cohen-Or; Lior Wolf; | Computer Graphics Forum | 2021-01-01 |
| 1140 | Joint Image-to-image Translation with Denoising Using Enhanced Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Lan Yan; Wenbo Zheng; Fei-Yue Wang; Chao Gou; | Signal Process. Image Commun. | 2021-01-01 |
| 1141 | Bent QR Code Image Rectification Method Based on Image-To-Image Translation Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Kazumoto Tanaka; | 2021-01-01 | |
| 1142 | GiGAN: Gate in GAN, Could Gate Mechanism Filter The Features in Image-to-image Translation? Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xuan Nie; Jianchao Jia; Haoxuan Ding; Edward K. Wong; | Neurocomputing | 2021-01-01 |
| 1143 | CT Normalization By Paired Image-to-image Translation for Lung Emphysema Quantification Related Papers Related Patents Related Grants Related Venues Related Experts View |
Insa Lange; Fabian Jacob; Alex Frydrychowicz; Heinz Handels; Jan Ehrhardt; | 2021-01-01 | |
| 1144 | MULTIPLE STYLE TRANSFER TO VIDEO FOR A SPECIFIC REGION OF INTEREST USING DEEP LEARNING Related Papers Related Patents Related Grants Related Venues Related Experts View |
P. T. WEERASINGHE; R. SIYAMBALAPITIYA; | i-manager’s Journal on Image Processing | 2021-01-01 |
| 1145 | Text Style Transfer With Decorative Elements Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The text rendered by special effects can give a rich visual experience. Text stylization can help users migrate their favorite styles to specified texts, improving production … |
Yuting Ma; Fan Tang; Weiming Dong; Changsheng Xu; | 2021 IEEE 4th International Conference on Multimedia … | 2021-01-01 |
| 1146 | Towards Many-to-one Neural Style Transfer Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer aims at transforming the artistic style of a painting into a photograph. The classic methods are based on the one-to-one principle, where stylization is … |
Michal Bogacz; Marcin Iwanowski; | 2021 14th International Conference on Human System … | 2021-01-01 |
| 1147 | Representation-guided Generative Adversarial Network for Unpaired Photo-to-caricature Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZIQIANG ZHENG et. al. | Comput. Electr. Eng. | 2021-01-01 |
| 1148 | DMDIT: Diverse Multi-domain Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
MING-WEN SHAO et. al. | Knowl. Based Syst. | 2021-01-01 |
| 1149 | Gesture Recognition Controls Image Style Transfer Based on Improved YOLOV5s Algorithm Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jiangfan Xie; Huilong Jin; Tian Wen; Ruiyan Du; | CrownCom/WiCON | 2021-01-01 |
| 1150 | Towards Fine-Grained Control Over Latent Space for Unpaired Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Lei Luo; William H. Hsu; Shangxian Wang; | 2021-01-01 | |
| 1151 | Synthesis of 3D MRI Brain Images With Shape and Texture Generative Adversarial Deep Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks (GAN) are emerging as an exciting training paradigm which promises a step improvement to the impressive feature learning capabilities of deep … |
Chee Keong Chong; Eric Tatt Wei Ho; | IEEE Access | 2021-01-01 |
| 1152 | Application Research of Graphic Design Based on Machine Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of science and technology, artificial intelligence has gradually become the mainstream direction of today’s science and technology development. … |
Xiangyi Wang; Hongyang Zhang; | 2021 International Conference on Applications and … | 2021-01-01 |
| 1153 | Enabling Artistic Control Over Pattern Density and Stroke Strength Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the remarkable results and numerous advancements in neural style transfer, achieving artistic control is still a challenging feat, primarily since existing methodologies … |
John Jethro Virtusio; Daniel Stanley Tan; Wen-Huang Cheng; M. Tanveer; Kai-Lung Hua; | IEEE Transactions on Multimedia | 2021-01-01 |
| 1154 | Face Translation Based on Semantic Style Transfer and Rendering from One Single Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Many avatar characters have been animated in films or games, which always need a lot of time for post-processing with the computer graphics technologies. In recent years, lots of … |
Peizhen Lin; Baoyu Liu; Lei Wang; Zetong Lei; Jun Cheng; | 2021 10th International Conference on Software and Computer … | 2021-01-01 |
| 1155 | Optimized and Improved Methods of Image Style Transfer for Local Reinforcement Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yong Li; Yan Wang; Hsien-Wei Tseng; Hongkun Huang; Chun-Chi Chen; | Sensors and Materials | 2021-01-01 |
| 1156 | Image Style Transfer with Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style transfer is a recently popular research field, which aims to learn the mapping between different domains and involves different computer vision techniques. Recently, … |
Ru Li; | Proceedings of the 29th ACM International Conference on … | 2021-01-01 |
| 1157 | Image Steganography Based on Style Transfer and Quaternion Exponent Moments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
QI LI et. al. | Appl. Soft Comput. | 2021-01-01 |
| 1158 | Mask-based Style-Controlled Image Synthesis Using A Mask Style Encoder IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, the advances in Generative Adversarial Networks (GANs) have shown impressive results for image generation and translation tasks. In particular, the image-to-image … |
Jaehyeong Cho; Wataru Shimoda; Keiji Yanai; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1159 | ArCycleGAN: Improved CycleGAN for Style Transferring of Fruit Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: CycleGAN can realize image translation and style transferring among unpaired images. However, it will easily generate inappropriate image results when the number and shapes of … |
Hongqian Chen; Mengxi Guan; Hui Li; | IEEE Access | 2021-01-01 |
| 1160 | Multi-Style Transfer Generative Adversarial Network for Text Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, neural style transfer have shown impressive results in deep learning. In particular, for text style transfer, recent researches have successfully completed the … |
Honghui Yuan; Keiji Yanai; | 2021 IEEE 4th International Conference on Multimedia … | 2021-01-01 |
| 1161 | Image Captioning with Inherent Sentiment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a new task called sentimental image captioning which aims to generate captions with the inherent sentiment reflected by the image. Compared with the stylized image … |
Tong Li; Yunhui Hu; Xinxiao Wu; | 2021 IEEE International Conference on Multimedia and Expo … | 2021-01-01 |
| 1162 | Style Transfer Using Convolutional Neural Network and Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Minyeo Kim; Hyeongseok Choi; Joonki Paik; | TECHART: Journal of Arts and Imaging Science | 2021-01-01 |
| 1163 | Structure-Guided Arbitrary Style Transfer for Artistic Image and Video IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer has become a popular task in academic research and industrial applications recently. Although the effect and efficiency have been striking advances, the … |
Shiguang Liu; Ting Zhu; | IEEE Transactions on Multimedia | 2021-01-01 |
| 1164 | Rapid Local Image Style Transfer Method Based on Residual Convolutional Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The technology of image style transfer can learn the style of a target image in a fully automated or semi-automated way, which is often very difficult to achieve by manual … |
Liming Huang; Ping Wang; Cheng-Fu Yang; Hsien-Wei Tseng; | Sensors and Materials | 2021-01-01 |
| 1165 | Multidomain Image-to-image Translation Model Based on Hidden Space Sharing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation translates an image from one domain to another. The goal is to learn the translation relationship between different image domains. Compared with the … |
Ding Yuxin; Wang Longfei; | Neural Computing and Applications | 2021-01-01 |
| 1166 | Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial makeup style transfer is an extremely challenging sub-field of image-to-image-translation. Due to this difficulty, state-of-the-art results are mostly reliant on the Face … |
Daniel Organisciak; Edmond S. L. Ho; Hubert P. H. Shum; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1167 | Zero Shot Objects Classification Method of Side Scan Sonar Image Based on Synthesis of Pseudo Samples IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chuanlong Li; Xiufen Ye; Dongxiang Cao; Jie Hou; Haibo Yang; | Applied Acoustics | 2021-01-01 |
| 1168 | Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A new style transfer-based image manipulation framework combining generative networks and style transfer networks is presented in this paper. Unlike conventional style transfer … |
Ren Togo; Megumi Kotera; Takahiro Ogawa; Miki Haseyama; | IEEE Access | 2021-01-01 |
| 1169 | Transfer Learning with Style Transfer Between The Photorealistic and Artistic Domain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transfer Learning is an important strategy in Computer Vision to tackle problems in the face of limited training data. However, this strategy still heavily depends on the amount … |
Nikolay Banar; Matthia Sabatelli; Pierre Geurts; Walter Daelemans; Mike Kestemont; | Electronic Imaging | 2021-01-01 |
| 1170 | Animating Cloud Images With Flow Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a method for animating static images using a generative adversarial network (GAN). Given a source image depicting a cloud image and a driving video sequence depicting a … |
Kazuma Kurisaki; Kazuhiko Kawamoto; | IEEE Access | 2021-01-01 |
| 1171 | Globally Assisted Instance Normalization for Bandwidth-Efficient Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Instance normalization (IN) has been widely considered as a key technique in fast neural style transfer algorithms to generate high-quality stylized images. However, because of … |
Hsiu-Pin Hsu; Chao-Tsung Huang; | 2021 IEEE Workshop on Signal Processing Systems (SiPS) | 2021-01-01 |
| 1172 | Chinese Character Style Transfer Based on Multi-scale GAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Chinese calligraphy has a strong artistry and appreciation. Through deep learning methods such as image translation methods, Chinese characters lacking in a set of calligraphy … |
Ziying Zhang; Xiaoxue Zhou; Mengxi Qin; Xin Chen; | Signal, Image and Video Processing | 2021-01-01 |
| 1173 | Unpaired Image-to-Image Translation Network for Semantic-based Face Adversarial Examples Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent studies have shown that neural networks are vulnerable to adversarial example (AE) attacks. However, the existing AE generation techniques restrict the pixel perturbation … |
Jiliang Zhang; Junjie Hou; | Proceedings of the 2021 on Great Lakes Symposium on VLSI | 2021-01-01 |
| 1174 | TVA-GAN: Attention Guided Generative Adversarial Network For Thermal To Visible Face Transformations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the recent advancement of machine learning methods for realistic image generation and image translation, Generative Adversarial Networks (GANs) play a vital role. GAN generates … |
Nand Yadav; | 2021-01-01 | |
| 1175 | High-Capacity Image Steganography Algorithm Based on Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Steganography is a technique for publicly transmitting secret information through a cover. Most of the existing steganography algorithms are based on modifying the cover image, … |
Xinliang Bi; Xiaoyuan Yang; Chao Wang; Jia Liu; | Secur. Commun. Networks | 2021-01-01 |
| 1176 | URCA-GAN: UpSample Residual Channel-wise Attention Generative Adversarial Network for Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xuan Nie; Haoxuan Ding; Manhua Qi; Yifei Wang; Edward K. Wong; | Neurocomputing | 2021-01-01 |
| 1177 | Automated Game Mechanics and Aesthetics Generation Using Neural Style Transfer in 2D Video Games Related Papers Related Patents Related Grants Related Venues Related Experts View |
Deniz ŞEN; Hasan Tahsin KÜÇÜKKAYKI; Elif SÜRER; | Bilişim Teknolojileri Dergisi | 2021-01-01 |
| 1178 | X-Bridge: Image-to-Image Translation with Reconstruction Capabilities Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ivan Gruber; Marek Hrúz; Milos Zelezný; Alexey Karpov; | 2021-01-01 | |
| 1179 | Mask-guided GAN for Robust Text Editing in The Scene IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Boxi Yu; Yong Xu; Yan Huang; Shuai Yang; Jiaying Liu; | Neurocomputing | 2021-01-01 |
| 1180 | Haze Mitigation in High-Resolution Satellite Imagery Using Enhanced Style-Transfer Neural Network and Normalization Across Multiple GPUs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite recent advances in deep learning approaches, haze mitigation in large satellite images is still a challenging problem. Due to amorphous nature of haze, object detection or … |
Byung H. Park; Somrita Chattopadhyay; John Burgin; | 2021 IEEE International Geoscience and Remote Sensing … | 2021-01-01 |
| 1181 | Learn to Walk Across Ages: Motion Augmented Multi-Age Group Gait Video Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a framework for multi-age group gait video translation in which, for the first time, individuality-preserving aging patterns in walking style are learnt. More … |
YIYI ZHANG et. al. | IEEE Access | 2021-01-01 |
| 1182 | MRI BRAIN IMAGE SEGMENTATION BY USING A DEEP SPECTRUM IMAGE TRANSLATION NETWORK Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Now a days medical image processing is challenging task. Because of its structure, flexibility in place, and irregular borders, manual identification and segmentation of brain … |
Srinivasarao Gajula; | Journal of Medical pharmaceutical and allied sciences | 2021-01-01 |
| 1183 | A Transformer Based Approach for Image Manipulation Chain Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image manipulation chain detection aims to identify the existence of involved operations and also their orders, playing an important role in multimedia forensics and image … |
JIAXIANG YOU et. al. | Proceedings of the 29th ACM International Conference on … | 2021-01-01 |
| 1184 | Video Cloning for Paintings Via Artistic Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the past, visual arts usually represented the static art like paintings, photography and sculptures. In recent years, many museums, artwork galleries, and even art exhibitions … |
Damon Shing-Min Liu; Ning Tu; | Signal, Image and Video Processing | 2021-01-01 |
| 1185 | Self-relevance Predicts The Aesthetic Appeal of Real and Synthetic Artworks Generated Via Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: What determines the aesthetic appeal of artworks? Recent work suggests that aesthetic appeal can to some extent be predicted from a visual artwork’s image features. Yet, a large … |
Edward A. Vessel; Laura Beatriz Borges Bastos Pasqualette; Cem Uran; Sara Koldehoff; Martin Vinck; | 2021-01-01 | |
| 1186 | Exploiting Spatial Relation for Reducing Distortion in Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The power of convolutional neural networks in arbitrary style transfer has been amply demonstrated; however, existing stylization methods tend to generate spatially inconsistent … |
Jia-Ren Chang; Yong-Sheng Chen; | 2021 IEEE Winter Conference on Applications of Computer … | 2021-01-01 |
| 1187 | Message Drives Image: A Coverless Image Steganography Framework Using Multi-Domain Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The coverless steganography methods based on the GAN satisfy the need of large image set which is a shortcoming for traditional coverless methods. But most of GAN based methods … |
Rui Xue; Yaning Wang; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 1188 | A Multi Task Approach to Improve Face and Body Generation in Pose Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advancement in generative adversarial networks (GANs) and conditional GANs has inspired researchers to come up with a new and unique application. One such innovative use … |
Roopak Rastogi; Kumar Shubham; Dinesh Babu Jayagopi; | 2021 3rd International Conference on Image, Video and … | 2021-01-01 |
| 1189 | Improved Generative Adversarial Network and Its Application in Image Oil Painting Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuan Liu; | Image Vis. Comput. | 2021-01-01 |
| 1190 | NIR-VIS Heterogeneous Face Synthesis Via Enhanced Asymmetric CycleGAN IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous face image involves many fields, among which the near infrared (NIR) and visible (VIS) face image recognition is a hot field. NIR image has excellent imaging effect … |
Yinghui Zhang; Chun Liu; Bo Sun; Jun He; Lejun Yu; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 1191 | Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Kaiheng Dang; Jianhuang Lai; Junhao Dong; Xiaohua Xie; | Asian Conference on Pattern Recognition | 2021-01-01 |
| 1192 | Understanding Linear Style Transfer Auto-Encoders Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer auto-encoder has recently been shown to be highly effective in synthesizing images with styles transferred from another image. In this work, we aim to provide an … |
Ian Pradhan; Siwei Lyu; | 2021 IEEE 31st International Workshop on Machine Learning … | 2021-01-01 |
| 1193 | Texture Preserving Photo Style Transfer Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Photo style transfer aims to change the style of a given photo to a reference style image with the constraint by retaining the broad and faithful conservation of the content of … |
Hwanbok Mun; Gang-Joon Yoon; Jinjoo Song; Sang Min Yoon; | IEEE Transactions on Multimedia | 2021-01-01 |
| 1194 | Multi-ColorGAN: Few-shot Vehicle Recoloring Via Memory-augmented Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Wei Zhou; Si-Bao Chen; Li-Xiang Xu; Bin Luo; | Journal of Visual Communication and Image Representation | 2021-01-01 |
| 1195 | StyleTune: Interactive Style Transfer Enhancement on Mobile Devices Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present StyleTune, a mobile app for interactive style transfer enhancement that enables global and spatial control over stroke elements and can generate high fidelity outputs. … |
Benito Buchheim; Max Reimann; Sebastian Pasewaldt; Jürgen Döllner; Matthias Trapp; | ACM SIGGRAPH 2021 Appy Hour | 2021-01-01 |
| 1196 | “One-Shot” Super-Resolution Via Backward Style Transfer for Fast High-Resolution Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Owing to the excellent visual quality of results, Gatys et al.’s Neural Style Transfer (NST) online algorithm is regarded as the gold-standard in the community of NST, but this … |
Jikang Cheng; Zhen Han; Zhongyuan Wang; Liang Chen; | IEEE Signal Processing Letters | 2021-01-01 |
| 1197 | Stylized Image Generation Based on Music-image Synesthesia Emotional Style Transfer Using CNN Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Emotional style of multimedia art works are abstract content information. This study aims to explore emotional style transfer method and find the possible way of matching music … |
Baixi Xing; Jian Dou; Qing Huang; Huahao Si; | KSII Trans. Internet Inf. Syst. | 2021-01-01 |
| 1198 | Style-Guided Image-to-Image Translation for Multiple Domains Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The cross-domain image translation has drawn more and more attention. It aims to translate images from a source domain into target domains, such that images can appear in multiple … |
Tingting Li; Huan Zhao; Song Wang; Jing Huang; | Proceedings of the 2021 Workshop on Multi-Modal … | 2021-01-01 |
| 1199 | PMAN: Progressive Multi-Attention Network for Human Pose Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a novel approach for human pose transfer, progressive multi-attention network (PMAN), which generates a new human image by transferring the pose of a given … |
Baoyu Chen; Yi Zhang; Hongchen Tan; Baocai Yin; Xiuping Liu; | IEEE Transactions on Circuits and Systems for Video … | 2021-01-01 |
| 1200 | Rice Seed Image-to-Image Translation Using Generative Adversarial Networks to Improve Weedy Rice Image Classification Related Papers Related Patents Related Grants Related Venues Related Experts View |
Atthakorn Petchsod; Tanasai Sucontphunt; | 2021-01-01 | |
| 1201 | A Pipeline for Hand 2-D Keypoint Localization Using Unpaired Image to Image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Hand pose estimation is getting a lot of attention in many areas such as Human-Computer Interaction and Sign Language Recognition. A fundamental step to accurately estimate the … |
Farnaz Farahanipad; Mohammad Rezaei; Alex Dillhoff; Farhad Kamangar; Vassilis Athitsos; | The 14th PErvasive Technologies Related to Assistive … | 2021-01-01 |
| 1202 | SSFlow: Style-guided Neural Spline Flows for Face Image Manipulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Significant progress has been made in high-resolution and photo-realistic image generation by Generative Adversarial Networks (GANs). However, the generation process is still lack … |
Hanbang Liang; Xianxu Hou; LinLin Shen; | Proceedings of the 29th ACM International Conference on … | 2021-01-01 |
| 1203 | Perspective Preserving Style Transfer for Interior Portraits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the jarring limitations of existing style transfer techniques is their failure to capture the illusion of depth through perspective. These often result in flat-looking … |
Wen-Yin Chen; Jose Jaena Mari Ople; Maynard John Si; Daniel Stanley Tan; Kai-Lung Hua; | IEEE Access | 2021-01-01 |
| 1204 | Neural Style Palette: A Multimodal and Interactive Style Transfer From A Single Style Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the myriad of attributes found in a single style image, existing neural style transfer methods produce outputs with limited variety–typically only a single realization of … |
JOHN JETHRO VIRTUSIO et. al. | IEEE Transactions on Multimedia | 2021-01-01 |
| 1205 | LITNet: A Light-weight Image Transform Net for Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, style transfer networks have received widespread attention in computer vision field, which combine stylistic features from a style image and content information from a … |
Huihong Shi; Wendong Mao; Zhongfeng Wang; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 1206 | GAN-Based Day-to-Night Image Style Transfer for Nighttime Vehicle Detection IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Data augmentation plays a crucial role in training a CNN-based detector. Most previous approaches were based on using a combination of general image-processing operations and … |
Che-Tsung Lin; Sheng-Wei Huang; Yen-Yi Wu; Shang-Hong Lai; | IEEE Transactions on Intelligent Transportation Systems | 2021-01-01 |
| 1207 | Visual Representation Learning with Limited Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The quality of a Computer Vision system is proportional to the rigor of data representation it is built upon. Learning expressive representations of images is therefore the … |
Artsiom Sanakoyeu; | 2021-01-01 | |
| 1208 | Zernike Coefficient Prediction Technique for Interference Based on Generation Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the paper, we propose a novel prediction technique to predict Zernike coefficients from interference fringes based on Generative Adversarial Network (GAN). In general, the task … |
ALLEN JONG-WOEI WHANG et. al. | Applied Sciences | 2021-01-01 |
| 1209 | Evaluate and Improve The Quality of Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHIZHONG WANG et. al. | Comput. Vis. Image Underst. | 2021-01-01 |
| 1210 | Multi-modal Image Synthesis Combining Content-style Adaptive Normalization and Attentive Normalization Related Papers Related Patents Related Grants Related Venues Related Experts View |
HENG ZHANG et. al. | Comput. Graph. | 2021-01-01 |
| 1211 | Unpaired Font Family Synthesis Using Conditional Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ammar Ul Hassan; Hammad Ahmed; Jaeyoung Choi; | Knowl. Based Syst. | 2021-01-01 |
| 1212 | Semantic-Aware Video Style Transfer Based on Temporal Consistent Sparse Patch Constraint Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yaxin Liu; Xiaoyan Zhang; Xiaogang Xu; | 2021 IEEE International Conference on Multimedia and Expo … | 2021-01-01 |
| 1213 | Visualyre: Multimodal Visualization of Lyrics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present Visualyre, a web application that synthesizes images based on the semantics of the lyrics, and the mood of the music. We use a multimodal approach, … |
GAMAR AZUAJE et. al. | Audio Mostly 2021 | 2021-01-01 |
| 1214 | Detail Fusion GAN: High-Quality Translation for Unpaired Images with GAN-based Data Augmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation, a task to learn the mapping relation between two different domains, is a rapid-growing research field in deep learning. Although existing Generative … |
LING LI et. al. | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1215 | PathosisGAN: Sick Face Image Synthesis with Generative Adversarial Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The image-to-image translation method based on Generative Adversarial Networks (GAN) realizes the conversion of the image from the source data domain to the target data domain by … |
Jinyu Hu; Yuchen Ren; Yuan Yuan; Yin Li; Lei Chen; | 2021 2nd International Conference on Artificial … | 2021-01-01 |
| 1216 | Side-Scan Sonar Image Classification Based on Style Transfer and Pre-Trained Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Side-scan sonar is widely used in underwater rescue and the detection of undersea targets, such as shipwrecks, aircraft crashes, etc. Automatic object classification plays an … |
QIANG GE et. al. | Electronics | 2021-01-01 |
| 1217 | Audio Style Conversion Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer is one of the most popular uses of neural networks. It has been thoroughly researched, such as extracting the style from famous paintings and applying it to other … |
Aakash Ezhilan; R. Dheekksha; S. Shridevi; | International Journal of Applied Science and Engineering | 2021-01-01 |
| 1218 | Continual Unsupervised Domain Adaptation for Semantic Segmentation By Online Frequency Domain Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When deep neural networks are deployed in a highly automated vehicle for environment perception tasks in an unseen (target) domain that differs from the training (source) domain, … |
Jan-Aike Termöhlen; Marvin Klingner; Leon J. Brettin; Nico M. Schmidt; Tim Fingscheidt; | 2021 IEEE International Intelligent Transportation Systems … | 2021-01-01 |
| 1219 | Product Innovation Concept Generation Based on Deep Learning and Kansei Engineering IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Industrial designers often present their initial concepts as design sketches. Rapid creation of new product conceptual images that meet users’ affective preferences remains … |
Xiong Li; Jianning Su; Zhipeng Zhang; Ruisheng Bai; | Journal of Engineering Design | 2021-01-01 |
| 1220 | Image Style Disentangling for Instance-level Facial Attribute Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xuyang Guo; Meina Kan; Zhenliang He; Xingguang Song; Shiguang Shan; | Comput. Vis. Image Underst. | 2021-01-01 |
| 1221 | An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Based on the adaptive particle swarm algorithm and error backpropagation neural network, this paper proposes methods for different styles of music classification and migration … |
Xiahan Liu; | Complex. | 2021-01-01 |
| 1222 | Pose Transfer Generation with Semantic Parsing Attention Network for Person Re-identification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Meichen Liu; Kejun Wang; Ruihang Ji; Shuzhi Sam Ge; Jing Chen; | Knowl. Based Syst. | 2021-01-01 |
| 1223 | Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jiayue Li; Qing Wang; Shiji Li; Qiang Zhong; Qian Zhou; | 2021-01-01 | |
| 1224 | BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: State-of-the-art image translation methods tend to struggle in an imbalanced domain setting, where one image domain lacks richness and diversity. We introduce a new unsupervised … |
Or Patashnik; Dov Danon; Hao Zhang; Daniel Cohen-Or; | 2021 IEEE/CVF Conference on Computer Vision and Pattern … | 2021-01-01 |
| 1225 | Self-supervised Face Image Manipulation By Conditioning GAN on Face Decomposition IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a novel architecture for manipulating facial expressions, head poses, and lighting conditions from a single monocular image. Recent methods based on Generative … |
Minh Ngo; Sezer Karaoglu; Theo Gevers; | IEEE Transactions on Multimedia | 2021-01-01 |
| 1226 | FaceBlit: Instant Real-time Example-based Style Transfer to Facial Videos Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fig. 1. FaceBlit vs. state-of-the-art—the task at hand is to transfer a style from an exemplar image (a) to a face in the target image (e) while preserving important visual … |
Aneta Texler; Ondrej Texler; Michal Kucera; Menglei Chai; Daniel Sýkora; | Proc. ACM Comput. Graph. Interact. Tech. | 2021-01-01 |
| 1227 | A New View of Multi-modal Language Analysis: Audio and Video Features As Text “Styles” Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Imposing the style of one image onto another is called style transfer. For example, the style of a Van Gogh painting might be imposed on a photograph to yield an interesting … |
Zhongkai Sun; P. Sarma; Yingyu Liang; W. Sethares; | Conference of the European Chapter of the Association for … | 2021-01-01 |
| 1228 | Unsupervised Cycle-consistent Person Pose Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Songyan Liu; Haiyun Guo; Kuan Zhu; Jinqiao Wang; Ming Tang; | Neurocomputing | 2021-01-01 |
| 1229 | Fast Human Motion Transfer Based on A Meta Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jian Pan; Huaijiang Sun; Yue Kong; | Inf. Sci. | 2021-01-01 |
| 1230 | Automatic Image Colorization Based on Multi-Discriminators Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a deep automatic colorization approach which avoids any manual intervention. Recently Generative Adversarial Network (GANs) approaches have proven their … |
Youssef Mourchid; Marc Donias; Yannick Berthoumieu; | 2020 28th European Signal Processing Conference (EUSIPCO) | 2021-01-01 |
| 1231 | Supervised Video-to-Video Synthesis for Single Human Pose Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we focus on human pose transfer in different videos, i.e., transferring the dance pose of a person in given video to a target person in the other video. Our methods … |
Hongyu Wang; Mengxing Huang; Di Wu; Yuchun Li; Weichao Zhang; | IEEE Access | 2021-01-01 |
| 1232 | Image to Image Translation Networks Using Perceptual Adversarial Loss Function Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image to image translation based on deep learning models is a subject of immense importance in the disciplines of Artificial Intelligence (AI) and Computer Vision (CV). A variety … |
Saleh Altakrouri; Sahnius Bt Usman; Norulhusna Binti Ahmad; Taghreed Justinia; Norliza Mohd Noor; | 2021 IEEE International Conference on Signal and Image … | 2021-01-01 |
| 1233 | Efficient Shadow Detection and Removal Using Synthetic Data with Domain Adaptation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, learning based shadow detection and removal approaches have shown prospects and, in most cases, yielded state-of-the-art results. The performance of these … |
Rui Guo; Babajide Ayinde; Hao Sun; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1234 | Label-Free Regional Consistency for Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
SHAOHUA GUO et. al. | 2021 IEEE International Conference on Multimedia and Expo … | 2021-01-01 |
| 1235 | Unpaired Night-To-Day Translation: Image Restoration And Style Transfer Under Low Illumination Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haoling Li; Yuanyuan Chen; | 2021-01-01 | |
| 1236 | Photorealistic Style Transfer for Video Related Papers Related Patents Related Grants Related Venues Related Experts View |
Itziar Zabaleta; Marcelo Bertalmío; | Signal Process. Image Commun. | 2021-01-01 |
| 1237 | Anime Style Transfer With Spatially-Adaptive Normalization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style transfer has always been a popular topic in the field of computer vision. Many researchers have achieved transfer image texture characteristics, such as converting … |
Junjian Lian; Jinrong Cui; | 2021 IEEE International Conference on Multimedia and Expo … | 2021-01-01 |
| 1238 | Multi-scale Feature Fusion Model Followed By Residual Network for Generation of Face Aging and De-aging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face aging is one of the most interesting style transfer ideas due to the extraordinary development in image synthesis succeeded by deep learning models that is the generative … |
Dipali Vasant Atkale; Meenakshi M. Pawar; Shabdali C. Deshpande; Dhanashree M. Yadav; | Signal, Image and Video Processing | 2021-01-01 |
| 1239 | Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian … |
Eleftheria Briakou; Di Lu; Ke Zhang; Joel Tetreault; | 2021-01-01 | |
| 1240 | Fsft-Net: Face Transfer Video Generation With Few-Shot Views Related Papers Related Patents Related Grants Related Venues Related Experts View |
Luchuan Song; Guojun Yin; Bin Liu; Yuhui Zhang; Nenghai Yu; | 2021-01-01 | |
| 1241 | Style Transfer for Unsupervised Domain-adaptive Person Re-identification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yanwen Chong; Chengwei Peng; Jingjing Zhang; Shaoming Pan; | Neurocomputing | 2021-01-01 |
| 1242 | Informative Multimodal Unsupervised Image-to-Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a new method of multimodal image translation, called InfoMUNIT, which is an extension of the state-of-the-art method MUNIT. Our method allows controlling the style of … |
Tien Tai Doan; Guillaume Ghyselinck; Blaise Hanczar; | 2021-01-01 | |
| 1243 | Image-to-Image Style Transfer Based on The Ghost Module Related Papers Related Patents Related Grants Related Venues Related Experts View |
YAN JIANG et. al. | Computers, Materials & Continua | 2021-01-01 |
| 1244 | Image-To-Image Translation Using Deep Convolutional GANs Related Papers Related Patents Related Grants Related Venues Related Experts View |
Nahid Guard; Suneeta V. Budihal; | Information and Communication Technology for Competitive … | 2021-01-01 |
| 1245 | Progressive Data Augmentation Method for Remote Sensing Ship Image Classification Based on Imaging Simulation System and Neural Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has shown great power in processing remote sensing data, especially for fine-grained remote sensing ship image classification. However, the lack of a large amount of … |
QI XIAO et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2021-01-01 |
| 1246 | A Deep-learning-based Image Forgery Detection Framework for Controlling The Spread of Misinformation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: PurposeWeb users rely heavily on online content make decisions without assessing the veracity of the content. The online content comprising text, image, video or audio may be … |
Ambica Ghai; Pradeep Kumar; Samrat Gupta; | Information Technology & People | 2021-01-01 |
| 1247 | Random Style Transfer for Person Re-identification with One Example Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Person re-identification with only one labeled image for each identify can not eliminate the style variations of different cameras in the same dataset. In this paper, we propose a … |
Yang Li; Tianshi Wang; Li Liu; | AIMS Mathematics | 2021-01-01 |
| 1248 | Boundary Guided Image Translation for Pose Estimation from Ultra-low Resolution Thermal Sensor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work addresses the pose estimation task on low-resolution images captured using thermal sensors which can operate in a no-light environment. Low-resolution thermal sensors … |
Kohei Kurihara; Tianren Wang; Teng Zhang; Brian C. Lovell; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1249 | Image Style Transfer Algorithm Based on Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram … |
CHUAN XIE et. al. | IEEE Access | 2021-01-01 |
| 1250 | Neural Style Transfer: A Critical Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural Style Transfer (NST) is a class of software algorithms that allows us to transform scenes, change/edit the environment of a media with the help of a Neural Network. NST … |
AKHIL SINGH et. al. | IEEE Access | 2021-01-01 |
| 1251 | Transfer Learning in Optical Microscopy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image synthesis is nowadays a very rapidly evolving branch of deep learning. One of possible applications of image synthesis is an image-to-image translation. There is currently a … |
Marián Kozlovský; David Wiesner; David Svoboda; | 2021-01-01 | |
| 1252 | Deep Content Guidance Network for Arbitrary Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Arbitrary style transfer refers to generate a new image based on any set of existing images. Meanwhile, the generated image retains the content structure of one and the style … |
Dibo Shi; Huan Xie; Yi Ji; Ying Li; Chunping Liu; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 1253 | Stylized-Colorization for Line Arts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We address a novel problem of stylized-colorization which colorizes a given line art using a given coloring style in text. This problem can be stated as multi-domain image … |
Tzu-Ting Fang; Duc Minh Vo; Akihiro Sugimoto; Shang-Hong Lai; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1254 | Text As Neural Operator:Image Manipulation By Text Instruction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: n recent years, text-guided image manipulation has gained increasing attention in the multimedia and computer vision community. The input to conditional image generation has … |
TIANHAO ZHANG et. al. | Proceedings of the 29th ACM International Conference on … | 2021-01-01 |
| 1255 | Color Me Good: Branding in The Coloring Style of Movie Posters Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Brand logos are often rendered in a different style based on a context such as an event promotion. For example, Warner Bros. uses a different variety of their brand logo for … |
Rishabh Agrawal; Sarath Sivaprasad; Niranjan Pedanekar; | 2021 IEEE/CVF Conference on Computer Vision and Pattern … | 2021-01-01 |
| 1256 | A Unified Framework for High Fidelity Face Swap and Expression Reenactment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face manipulation techniques improve fast with the development of powerful image generation models. Two particular face manipulation methods, namely face swap and expression … |
Bo Peng; Hongxing Fan; Wei Wang; Jing Dong; Siwei Lyu; | IEEE Transactions on Circuits and Systems for Video … | 2021-01-01 |
| 1257 | Acquisition Parameter-conditioned Magnetic Resonance Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jonas Denck; Jens Guehring; Andreas Maier; Eva Rothgang; | 2021-01-01 | |
| 1258 | Colorizing Images with Conditional Adversarial Networks and Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic image colorization is an image-to-image translation problem where a model is able to automatically convert a one-dimensional grayscale image to a three-dimensional color … |
Sandra Treneska; Mile Jovanov; | 2021 IEEE 19th International Symposium on Intelligent … | 2021-01-01 |
| 1259 | Can Image Style Transfer Save Automotive Radar? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Compared to RGB camera and Lidar, single chip automotive radar is a promising alternative sensor with robustness to adverse weathers. But the sparseness of radar output … |
Jianning Deng; Kaiwen Cai; Chris Xiaoxuan Lu; | Proceedings of the 19th ACM Conference on Embedded … | 2021-01-01 |
| 1260 | Style Transfer for Textures of 3D Models with Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When creating a 3D scene, the artistic style determines what atmosphere the environment brings to the viewer, and the style of the scene is contributed by the style of the models … |
Hung-Yu Chen; | 2021-01-01 | |
| 1261 | Specific Area Style Transfer on Real-Time Video Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since deep learning applications in object recognition, object detection, segmentation, and image generation are needed increasingly, related research has been actively conducted. … |
Hyung-Hwa Ko; GeunTae Kim; Hyunmin Kim; | 2021-01-01 | |
| 1262 | Human Face Super-resolution on Poor Quality Surveillance Video Footage IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most super-resolution (SR) methods proposed to date do not use real ground-truth high-resolution (HR) and low-resolution (LR) image pairs; instead, the vast majority of methods … |
Muhammad Farooq; Matthew N. Dailey; Arif Mahmood; Jednipat Moonrinta; Mongkol Ekpanyapong; | Neural Comput. Appl. | 2021-01-01 |
| 1263 | Pseudo-Supervised Learning for Semantic Multi-Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Numerous methods for style transfer have been developed using unsupervised learning and gained impressive results. However, optimal style transfer cannot be conducted from a … |
Saehun Kim; Jeonghyeok Do; Munchurl Kim; | IEEE Access | 2021-01-01 |
| 1264 | Segmentation Mask-guided Person Image Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Background clutters and pose variation are the key factors which prevents the network from learning a robust Person re-identification (Re-ID) model. To address the problem above, … |
Meichen Liu; Xin Yan; Chenhui Wang; Kejun Wang; | Applied Intelligence | 2021-01-01 |
| 1265 | Relative Camera Pose Estimation Using Synthetic Data with Domain Adaptation Via Cycle-Consistent Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learning-based visual localization has become prospective over the past decades. Since ground truth pose labels are difficult to obtain, recent methods try to learn pose … |
Chenhao Yang; Yuyi Liu; Andreas Zell; | Journal of Intelligent & Robotic Systems | 2021-01-01 |
| 1266 | Fake Face Detection Via Adaptive Manipulation Traces Extraction Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View |
Zhiqing Guo; Gaobo Yang; Jiyou Chen; Xingming Sun; | Comput. Vis. Image Underst. | 2021-01-01 |
| 1267 | Arbitrary Style Transfer with Parallel Self-Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer aims to create artistic images by synthesizing patterns from a given style image. Recently, the Adaptive Instance Normalization (AdaIN) layer is proposed to … |
Tiange Zhang; Ying Gao; Feng Gao; Lin Qi; Junyu Dong; | 2020 25th International Conference on Pattern Recognition … | 2021-01-01 |
| 1268 | PortraitNET: Photo-realistic Portrait Cartoon Style Transfer with Self-supervised Semantic Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View |
J. CUI et. al. | Neurocomputing | 2021-01-01 |
| 1269 | Mt-Gan: A Training Framework To Enhance Image Classification Task With Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qun Li; Changbo Hu; Keng-hao Chang; Ruofei Zhang; | 2021 IEEE International Conference on Multimedia & Expo … | 2021-01-01 |
| 1270 | Mesh Generation and Optimization from Digital Rock Fractures Based on Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mengsu Hu; Jonny Rutqvist; Carl I. Steefel; | Journal of rock mechanics and geotechnical engineering | 2021-01-01 |
| 1271 | Historical Document Image Binarization Via Style Augmentation and Atrous Convolutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Historical documents suffer from a variety of degradations, making it challenging to recover the original textual content. The image binarization problem seeks to separate the … |
Hanif Rasyidi; Salman Khan; | Neural Comput. Appl. | 2021-01-01 |
| 1272 | An End-to-End Network for Remote Sensing Imagery Semantic Segmentation Via Joint Pixel- and Representation-Level Domain Adaptation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It requires pixel-by-pixel annotations to obtain sufficient training data in supervised remote sensing image segmentation, which is a quite time-consuming process. In recent … |
Lukui Shi; Ziyuan Wang; Bin Pan; Zhenwei Shi; | IEEE Geoscience and Remote Sensing Letters | 2021-01-01 |
| 1273 | Learning Deep Semantic Segmentation Network Under Multiple Weakly-supervised Constraints for Cross-domain Remote Sensing Image Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View |
YANSHENG LI et. al. | Isprs Journal of Photogrammetry and Remote Sensing | 2021-01-01 |
| 1274 | Deep Correlation Multimodal Neural Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer is a well-known approach used to transfer the art style of a style image to an input content image, and the core method of the style transfer is to use the Gram … |
Nguyen Quang Tuyen; Son Truong Nguyen; Tae Jong Choi; Vinh Quang Dinh; | IEEE Access | 2021-01-01 |
| 1275 | HumanGAN: A Generative Model of Human Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks achieve great performance in photorealistic image synthesis in various domains, including human images. However, they usually employ latent vectors … |
Kripasindhu Sarkar; Lingjie Liu; Vladislav Golyanik; Christian Theobalt; | 2021 International Conference on 3D Vision (3DV) | 2021-01-01 |
| 1276 | IIT-GAT: Instance-level Image Transformation Via Unsupervised Generative Attention Networks with Disentangled Representations Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ming-Wen Shao; Youcai Zhang; Yuan Fan; Wangmeng Zuo; Deyu Meng; | Knowl. Based Syst. | 2021-01-01 |
| 1277 | A SAR-to-Optical Image Translation Method Based on PIX2PIX Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Optical remote sensing images are susceptible to adverse weather effects, such as cloud occlusion, which lead to low availability of optical image data. However, synthetic … |
Zongcheng Zuo; Yuanxiang Li; | 2021 IEEE International Geoscience and Remote Sensing … | 2021-01-01 |
| 1278 | Multi-session Underwater Pose-graph SLAM Using Inter-session Opti-acoustic Two-view Factor IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Concurrent mapping necessitates data association among vehicles to overcome temporal and sensor modality differences. In this work, we focus on an underwater multi-vehicle mapping … |
Hyesu Jang; Sungho Yoon; Ayoung Kim; | 2021 IEEE International Conference on Robotics and … | 2021-01-01 |
| 1279 | Semi-paired Image-to-Image Translation Using Neighbor-based Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation aims at learning the mapping between an input image and an output image using a training set of aligned image pairs. In reality, obtaining paired images … |
Le Xu; Weiling Cai; Honghan Zhou; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 1280 | Semi Supervised Generative Adversarial Network for Automated Glaucoma Diagnosis with Stacked Discriminator Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Network (GAN) is neural network architecture, widely used in many computer vision applications such as super-resolution image generation, art creation and … |
K. Gokul Kannan; T. R. Ganesh Babu; | Journal of Medical Imaging and Health Informatics | 2021-01-01 |
| 1281 | LiveStyle – An Application to Transfer Artistic Styles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Art is a variety of human activities that include the production of visual, auditory, or performing objects that express the creativity, creative concepts, or technological … |
Amogh G. Warkhandkar; Omkar B. Bhambure; | ArXiv | 2021-01-01 |
| 1282 | Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, based on computer reading and processing of music frequency, amplitude, timbre, image pixel, color filling, and so forth, a method of image style transfer guided by … |
Tianjiao Li; | Complex. | 2021-01-01 |
| 1283 | Multi-Style Unsupervised Image Synthesis Using Generative Adversarial Nets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised cross-domain image-to-image translation is a very active topic in computer vision and graphics. This task has two challenges: 1) lack of paired training data and 2) … |
Guoyun Lv; Syed Muhammad Israr; Shengyong Qi; | IEEE Access | 2021-01-01 |
| 1284 | 2.5D Pose Guided Human Image Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a 2.5D pose guided human image generation method that integrates depth information with 2D poses. Given a target 2.5D pose and an image of a person, our … |
Kang Yuan; Sheng Li; | Proceedings of the 2021 International Conference on … | 2021-01-01 |
| 1285 | Real-time Sign Languages Character Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deaf people face many challenges to communicate with the hearing world. Many studies and industrial solutions came up with interpretation from sign language to normal text but … |
Sahar Idwan; Hasan Gharaibeh; Sari Awwad; | Journal of Computer Applications in Technology | 2021-01-01 |
| 1286 | Multimodal Reconstruction of Retinal Images Over Unpaired Datasets Using Cyclical Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega; | Generative Adversarial Networks for Image-to-Image … | 2021-01-01 |
| 1287 | Multiple Style Transfer Via Variational AutoEncoder IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Modern works on style transfer focus on transferring style from a single image. Recently, some approaches study multiple style transfer; these, however, are either too slow or … |
Zhi-Song Liu; Vicky Kalogeiton; Marie-Paule Cani; | ArXiv | 2021-01-01 |
| 1288 | Toward Multi-Modal Conditioned Fashion Image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Having the capability to synthesize photo-realistic fashion product images conditioned on multiple attributes or modalities would bring many new exciting applications. In this … |
Xiaoling Gu; Jun Yu; Yongkang Wong; Mohan S. Kankanhalli; | IEEE Transactions on Multimedia | 2021-01-01 |
| 1289 | Vid2Actor: Free-viewpoint Animatable Person Synthesis From Video In The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our method is an advance over GAN-based image-to-image translation since it allows image synthesis for any pose and camera via the internal 3D representation, while at the same time it does not require a pre-rigged model or ground truth meshes for training, as in mesh-based learning. |
Chung-Yi Weng; Brian Curless; Ira Kemelmacher-Shlizerman; | arxiv-cs.CV | 2020-12-23 |
| 1290 | Image Translation Via Fine-grained Knowledge Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an interpretable knowledge-based image-translation framework, which realizes the image-translation through knowledge retrieval and transfer. |
XUANHONG CHEN et. al. | arxiv-cs.CV | 2020-12-21 |
| 1291 | NAPA: Neural Art Human Pose Amplifier Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For pose regression, we propose a 2d-induced bone map from which pose is lifted. We collect a 277-style set for arbitrary style transfer and build an artistic 281-image test set. |
Qingfu Wan; Oliver Lu; | arxiv-cs.CV | 2020-12-15 |
| 1292 | PoNA: Pose-guided Non-local Attention For Human Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new human pose transfer method using a generative adversarial network (GAN) with simplified cascaded blocks. |
Kun Li; Jinsong Zhang; Yebin Liu; Yu-Kun Lai; Qionghai Dai; | arxiv-cs.CV | 2020-12-13 |
| 1293 | Human Pose Transfer By Adaptive Hierarchical Deformation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an adaptive human pose transfer network with two hierarchical deformation levels. |
Jinsong Zhang; Xingzi Liu; Kun Li; | arxiv-cs.CV | 2020-12-12 |
| 1294 | DILIE: Deep Internal Learning For Image Enhancement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. |
Indra Deep Mastan; Shanmuganathan Raman; | arxiv-cs.CV | 2020-12-11 |
| 1295 | DeepObjStyle: Deep Object-based Photo Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an object-based style transfer approach, called DeepObjStyle, for the style supervision in the training data-independent framework. |
Indra Deep Mastan; Shanmuganathan Raman; | arxiv-cs.CV | 2020-12-11 |
| 1296 | Enhancing Human Pose Estimation in Ancient Vase Paintings Via Perceptually-grounded Style Transfer Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, existing HPE methods do not generalise well across domains resulting in poorly recognized poses. Therefore, we propose a two step approach: (1) adapting a dataset of natural images of known person and pose annotations to the style of Greek vase paintings by means of image style-transfer. |
PRATHMESH MADHU et. al. | arxiv-cs.CV | 2020-12-10 |
| 1297 | Variational Interaction Information Maximization For Cross-domain Disentanglement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We derive a tractable bound of the objective and propose a generative model named Interaction Information Auto-Encoder (IIAE). |
HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim; | arxiv-cs.CV | 2020-12-08 |
| 1298 | Pose-Guided Human Animation from A Single Image in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new pose transfer method for synthesizing a human animation from a single image of a person controlled by a sequence of body poses. |
JAE SHIN YOON et. al. | arxiv-cs.CV | 2020-12-07 |
| 1299 | SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; examples include human-computer interaction, biometric authentication, recognition systems, domain transfer, and speech recognition. |
MADINA ABDRAKHMANOVA et. al. | arxiv-cs.HC | 2020-12-05 |
| 1300 | MakeupBag: Disentangling Makeup Extraction And Application Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces MakeupBag, a novel method for automatic makeup style transfer. |
Dokhyam Hoshen; | arxiv-cs.CV | 2020-12-03 |
| 1301 | CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application In Iris Presentation Attack Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Cyclic Image Translation Generative Adversarial Network (CIT-GAN) for multi-domain style transfer. |
Shivangi Yadav; Arun Ross; | arxiv-cs.CV | 2020-12-03 |
| 1302 | S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a sketch-to-image generation framework called S2FGAN, aiming to improve users’ ability to interpret and flexibility of face attribute editing from a simple sketch. |
Yan Yang; Md Zakir Hossain; Tom Gedeon; Shafin Rahman; | arxiv-cs.CV | 2020-11-30 |
| 1303 | What Can Style Transfer and Paintings Do For Model Robustness? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we study how style transfer and paintings differ in their impact on model robustness. |
Hubert Lin; Mitchell van Zuijlen; Sylvia C. Pont; Maarten W. A. Wijntjes; Kavita Bala; | arxiv-cs.CV | 2020-11-29 |
| 1304 | Manipulating Medical Image Translation With Manifold Disentanglement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose Manifold Disentanglement Generative Adversarial Network (MDGAN), a novel image translation framework that explicitly models these two types of features. |
SIYU LIU et. al. | arxiv-cs.CV | 2020-11-27 |
| 1305 | 3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To our knowledge, we propose the first learning-based approach for style transfer between 3D objects based on disentangled content and style representations. |
Mattia Segu; Margarita Grinvald; Roland Siegwart; Federico Tombari; | arxiv-cs.CV | 2020-11-26 |
| 1306 | DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation By Transferring from GANs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, in this work, we propose a novel deep hierarchical Image-to-Image Translation method, called DeepI2I. |
yaxing wang; Lu Yu; Joost van de Weijer; | nips | 2020-11-17 |
| 1307 | Generative View Synthesis: From Single-view Semantics to Novel-view Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to push the envelope further, and introduce Generative View Synthesis (GVS) that can synthesize multiple photorealistic views of a scene given a single semantic map. |
Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker; | nips | 2020-11-17 |
| 1308 | Cycle-Consistent Generative Rendering For 2D-3D Modality Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we learn such a module while being conscious of the difficulties in obtaining large paired 2D-3D datasets. |
Tristan Aumentado-Armstrong; Alex Levinshtein; Stavros Tsogkas; Konstantinos G. Derpanis; Allan D. Jepson; | arxiv-cs.CV | 2020-11-16 |
| 1309 | Reformulating Unsupervised Style Transfer As Paraphrase Generation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we reformulate unsupervised style transfer as a paraphrase generation problem, and present a simple methodology based on fine-tuning pretrained language models on automatically generated paraphrase data. |
Kalpesh Krishna; John Wieting; Mohit Iyyer; | emnlp | 2020-11-12 |
| 1310 | Contextual Text Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To realize high-quality style transfer with natural context preservation, we propose a Context-Aware Style Transfer (CAST) model, which uses two separate encoders for each input sentence and its surrounding context. |
YU CHENG et. al. | emnlp | 2020-11-10 |
| 1311 | Semi-Supervised Low-Resource Style Transfer Of Indonesian Informal To Formal Language With Iterative Forward-Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address a style-transfer from informal to formal Indonesian as a low-resource machine translation problem. We build a new dataset of parallel sentences of informal Indonesian and its formal counterpart. |
HARYO AKBARIANTO WIBOWO et. al. | arxiv-cs.CL | 2020-11-06 |
| 1312 | Optimal Textures: Fast And Robust Texture Synthesis And Style Transfer Through Optimal Transport Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a light-weight, high-quality texture synthesis algorithm that easily generalizes to other applications such as style transfer and texture mixing. |
Eric Risser; | arxiv-cs.GR | 2020-10-27 |
| 1313 | Multi Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: super-resolution techniques aim at producing high-resolution face images from low-resolution counterparts. |
Vahid Reza Khazaie; Nicky Bayat; Yalda Mohsenzadeh; | arxiv-cs.CV | 2020-10-23 |
| 1314 | Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: State-of-the-art deep neural network models have reached near perfect face recog- nition accuracy rates on controlled high-resolution face images (especially Caucasian faces). … |
Vahid Reza Khazaie; N. Bayat; Y. Mohsenzadeh; | Proceedings of the Canadian Conference on Artificial … | 2020-10-23 |
| 1315 | Real-time Localized Photorealistic Video Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel algorithm for transferring artistic styles of semantically meaningful local regions of an image onto local regions of a target video while preserving its photorealism. |
XIDE XIA et. al. | arxiv-cs.CV | 2020-10-20 |
| 1316 | Task–Driven Image–to–Image Translation for Automotive Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation attempts at mapping an image from a given domain into a different domain. In this paper we introduce a novel image-to-image translation paradigm, where … |
ALEXANDRU MĂLĂESCU et. al. | 2020 IEEE Intelligent Vehicles Symposium (IV) | 2020-10-19 |
| 1317 | Cross-Granularity Learning For Multi-Domain Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To ensure the important instance to be more realistically translated, we propose a cross-granularity learning model for multi-domain image-to-image translation. |
Huiyuan Fu; Ting Yu; Xin Wang; Huadong Ma; | mm | 2020-10-12 |
| 1318 | Stable Video Style Transfer Based On Partial Convolution With Depth-Aware Supervision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: presents a novel training framework for video style transfer without dependency on video dataset of target style; (2). |
Songhua Liu; Hao Wu; Shoutong Luo; Zhengxing Sun; | mm | 2020-10-12 |
| 1319 | Retrieval Guided Unsupervised Multi-domain Image To Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose the use of an image retrieval system to assist the image-to-image translation task. |
RAUL GOMEZ et. al. | mm | 2020-10-12 |
| 1320 | Aesthetic-Aware Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel problem called Aesthetic-Aware Image Style Transfer task, which aims to transfer colour and texture separately and independently to manipulate the aesthetic effect of an image. |
Zhiyuan Hu; Jia Jia; Bei Liu; Yaohua Bu; Jianlong Fu; | mm | 2020-10-12 |
| 1321 | Describe What To Change: A Text-guided Unsupervised Image-to-image Translation Approach IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel unsupervised approach, based on image-to-image translation, that alters the attributes of a given image through a command-like sentence such as "change the hair color to black". |
YAHUI LIU et. al. | mm | 2020-10-12 |
| 1322 | Arbitrary Style Transfer Via Multi-Adaptation Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the multi-adaptation network which involves two self-adaptation (SA) modules and one co-adaptation (CA) module:the SA modules adaptively disentangle the content and style representations, i.e., content SA module uses position-wise self-attention to enhance content representation and style SA module uses channel-wise self-attention to enhance style representation; the CA module rearranges the distribution of style representation based on content representation distribution by calculating the local similarity between the disentangled content and style features in a non-local fashion. |
YINGYING DENG et. al. | mm | 2020-10-12 |
| 1323 | Crossing You In Style: Cross-modal Style Transfer From Music To Visual Arts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Assuming that musical features can be properly mapped to visual contents through semantic links between the two domains, we solve the music-to-visual style transfer problem in two steps: music visualization and style transfer. |
Cheng-Che Lee; Wan-Yi Lin; Yen-Ting Shih; Pei-Yi (Patricia) Kuo; Li Su; | mm | 2020-10-12 |
| 1324 | Lab2Pix: Label-Adaptive Generative Adversarial Network For Unsupervised Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we propose an unsupervised framework named Lab2Pix to adaptively synthesize images from labels by elegantly considering the particular properties of label to image synthesis task. |
Lianli Gao; Junchen Zhu; Jingkuan Song; Feng Zheng; Heng Tao Shen; | mm | 2020-10-12 |
| 1325 | Preserving Global And Local Temporal Consistency For Arbitrary Video Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel fast method that explores both global and local temporal consistency for video style transfer without estimating optical flow. |
Xinxiao Wu; Jialu Chen; | mm | 2020-10-12 |
| 1326 | DeepFacePencil: Creating Face Images From Freehand Sketches IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the task of generating photo-realistic face images from hand-drawn sketches. |
YUHANG LI et. al. | mm | 2020-10-12 |
| 1327 | Image Sentiment Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce an important but still unexplored research task — image sentiment transfer. |
Tianlang Chen; Wei Xiong; Haitian Zheng; Jiebo Luo; | mm | 2020-10-12 |
| 1328 | Shape-aware Generative Adversarial Networks For Attribute Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a shape-aware GAN model that is able to preserve shape when transferring attributes, and propose its application to some real-world domains. |
Lei Luo; William Hsu; Shangxian Wang; | arxiv-cs.CV | 2020-10-11 |
| 1329 | Arbitrary Style Transfer Using Graph Instance Normalization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel learnable normalization technique for style transfer using graph convolutional networks, termed Graph Instance Normalization (GrIN). |
Dongki Jung; Seunghan Yang; Jaehoon Choi; Changick Kim; | arxiv-cs.CV | 2020-10-06 |
| 1330 | BalaGAN: Image Translation Between Imbalanced Domains Via Cross-Modal Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new unsupervised translation network, BalaGAN, specifically designed to tackle the domain imbalance problem. |
Or Patashnik; Dov Danon; Hao Zhang; Daniel Cohen-Or; | arxiv-cs.CV | 2020-10-05 |
| 1331 | Simultaneous Multi‐Attribute Image‐to‐Image Translation Using Parallel Latent Transform Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image‐to‐image translation has been widely studied. Since real‐world images can often be described by multiple attributes, it is useful to manipulate them at the same time. … |
Sen-Zhe Xu; Yu-Kun Lai; | Computer Graphics Forum | 2020-10-01 |
| 1332 | StyleProp: Real‐time Example‐based Stylization of 3D Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a novel approach to the real‐time non‐photorealistic rendering of 3D models in which a single hand‐drawn exemplar specifies its appearance. We employ guided patch‐based … |
Filip Hauptfleisch; Ondrej Texler; Aneta Texler; Jaroslav Křivánek; D. Sýkora; | Computer Graphics Forum | 2020-10-01 |
| 1333 | Face Sketch Synthesis With Style Transfer Using Pyramid Column Feature IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework based on deep neural networks for face sketch synthesis from a photo. |
Chaofeng Chen; Xiao Tan; Kwan-Yee K. Wong; | arxiv-cs.CV | 2020-09-18 |
| 1334 | Crossing You In Style: Cross-modal Style Transfer From Music To Visual Arts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Assuming that musical features can be properly mapped to visual contents through semantic links between the two domains, we solve the music-to-visual style transfer problem in two steps: music visualization and style transfer. |
Cheng-Che Lee; Wan-Yi Lin; Yen-Ting Shih; Pei-Yi Patricia Kuo; Li Su; | arxiv-cs.CV | 2020-09-17 |
| 1335 | SketchPatch: Sketch Stylization Via Seamless Patch-level Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Lacking the necessary volumes of data for standard training of translation systems, we advocate for operation at the patch level, where a handful of stylized sketches provide ample mining potential for patches featuring basic geometric primitives. |
Noa Fish; Lilach Perry; Amit Bermano; Daniel Cohen-Or; | arxiv-cs.GR | 2020-09-04 |
| 1336 | Neural Crossbreed: Neural Based Image Metamorphosis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect. |
Sanghun Park; Kwanggyoon Seo; Junyong Noh; | arxiv-cs.CV | 2020-09-02 |
| 1337 | NPRportrait 1.0: A Three-Level Benchmark For Non-Photorealistic Rendering Of Portraits IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To make progress towards a solution, this paper proposes a new structured, three level, benchmark dataset for the evaluation of stylised portrait images. |
PAUL L. ROSIN et. al. | arxiv-cs.CV | 2020-09-01 |
| 1338 | Measuring The Biases and Effectiveness of Content-Style Disentanglement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we conduct an empirical study to investigate the role of different biases in content-style disentanglement settings and unveil the relationship between the degree of disentanglement and task performance. |
XIAO LIU et. al. | arxiv-cs.CV | 2020-08-27 |
| 1339 | Random Style Transfer Based Domain Generalization Networks Integrating Shape And Spatial Information IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a random style transfer network to tackle the domain generalization problem for multi-vendor and center cardiac image segmentation. |
LEI LI et. al. | arxiv-cs.CV | 2020-08-27 |
| 1340 | Crossing-Domain Generative Adversarial Networks For Unsupervised Multi-Domain Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a general framework for unsupervised image-to-image translation across multiple domains, which can translate images from domain X to any a domain without requiring direct training between the two domains involved in image translation. |
Xuewen Yang; Dongliang Xie; Xin Wang; | arxiv-cs.CV | 2020-08-26 |
| 1341 | GAN Slimming: All-in-One GAN Compression By A Unified Optimization Framework IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose the first unified optimization framework combining multiple compression means for GAN compression, dubbed GAN Slimming (GS). |
Haotao Wang; Shupeng Gui; Haichuan Yang; Ji Liu; Zhangyang Wang; | arxiv-cs.LG | 2020-08-25 |
| 1342 | CA-GAN: Weakly Supervised Color Aware GAN For Controllable Makeup Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce CA-GAN, a generative model that learns to modify the color of specific objects (e.g. lips or eyes) in the image to an arbitrary target color while preserving background. |
Robin Kips; Pietro Gori; Matthieu Perrot; Isabelle Bloch; | arxiv-cs.CV | 2020-08-24 |
| 1343 | TSIT: A Simple And Versatile Framework For Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a simple and versatile framework for image-to-image translation. |
LIMING JIANG et. al. | eccv | 2020-08-21 |
| 1344 | Model-based Occlusion Disentanglement For Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our unsupervised model-based learning disentangles scene and occlusions, while benefiting from an adversarial pipeline to regress physical parameters of the occlusion model. |
Fabio Pizzati; Pietro Cerri; Raoul de Charette; | eccv | 2020-08-21 |
| 1345 | Domain-Specific Mappings For Generative Adversarial Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For addressing this issue, this paper leverages domain-specific mappings for remapping latent features in the shared content space to domain-specific content spaces. |
Hsin-Yu Chang; Zhixiang Wang; Yung-Yu Chuang; | eccv | 2020-08-21 |
| 1346 | Exploiting Deep Generative Prior For Versatile Image Restoration And Manipulation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work presents an effective way to exploit the image prior captured by a generative adversarial network (GAN) trained on large-scale natural images. |
XINGANG PAN et. al. | eccv | 2020-08-21 |
| 1347 | Optical Flow Distillation: Towards Efficient And Stable Video Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes to learn a lightweight video style transfer network via knowledge distillation paradigm. |
XINGHAO CHEN et. al. | eccv | 2020-08-21 |
| 1348 | Semantic Relation Preserving Knowledge Distillation For Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel method to address this problem by applying knowledge distillation together with distillation of a semantic relation preserving matrix. |
Zeqi Li; Ruowei Jiang,; Parham Aarabi; | eccv | 2020-08-21 |
| 1349 | Deformable Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose deformable style transfer (DST), an optimization-based approach that jointly stylizes the texture and geometry of a content image to better match a style image. |
Sunnie S. Y. Kim; Nicholas Kolkin; Jason Salavon; Gregory Shakhnarovich; | eccv | 2020-08-21 |
| 1350 | Joint Bilateral Learning For Real-time Universal Photorealistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new end-to-end model for photorealistic style transfer that is both fast and inherently generates photorealistic results. |
XIDE XIA et. al. | eccv | 2020-08-21 |
| 1351 | COCO-FUNIT: Few-Shot Unsupervised Image Translation With A Content Conditioned Style Encoder IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the issue, we propose a new few-shot image translation model, COCO-FUNIT, which computes the style embedding of the example images conditioned on the input image and a new module called the constant style bias. |
Kuniaki Saito; Kate Saenko; Ming-Yu Liu; | eccv | 2020-08-21 |
| 1352 | Filter Style Transfer Between Photos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new concept of style transfer, Filter Style Transfer (FST). |
Jonghwa Yim; Jisung Yoo; Won-joon Do; Beomsu Kim; Jihwan Choe; | eccv | 2020-08-21 |
| 1353 | Particularity Beyond Commonality: Unpaired Identity Transfer With Multiple References Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We accordingly propose a new multi-reference identity transfer framework by simultaneously making use of particularity and commonality of reference. |
Ruizheng Wu; Xin Tao; Yingcong Chen; Xiaoyong Shen; Jiaya Jia; | eccv | 2020-08-21 |
| 1354 | Generative View Synthesis: From Single-view Semantics To Novel-view Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to push the envelope further, and introduce Generative View Synthesis (GVS), which can synthesize multiple photorealistic views of a scene given a single semantic map. |
Tewodros Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker; | arxiv-cs.CV | 2020-08-20 |
| 1355 | Image Stylization For Robust Features IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we investigate if photorealistic image stylization improves robustness of local features to not only day-night, but also weather and season variations. |
Iaroslav Melekhov; Gabriel J. Brostow; Juho Kannala; Daniyar Turmukhambetov; | arxiv-cs.CV | 2020-08-16 |
| 1356 | Interactive Video Stylization Using Few-shot Patch-based Training IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. |
ONDŘEJ TEXLER et. al. | siggraph | 2020-08-14 |
| 1357 | Lagrangian Neural Style Transfer For Fluids IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a neural style transfer approach from images to 3D fluids formulated in a Lagrangian viewpoint. |
Byungsoo Kim; Vinicius C. Azevedo; Markus Gross; Barbara Solenthaler; | siggraph | 2020-08-14 |
| 1358 | Powers Of Layers For Image-to-image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple architecture to address unpaired image-to-image translation tasks: style or class transfer, denoising, deblurring, deblocking, etc. |
Hugo Touvron; Matthijs Douze; Matthieu Cord; Hervé Jégou; | arxiv-cs.CV | 2020-08-13 |
| 1359 | Text As Neural Operator: Image Manipulation By Text Instruction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we study a setting that allows users to edit an image with multiple objects using complex text instructions to add, remove, or change the objects. |
TIANHAO ZHANG et. al. | arxiv-cs.CV | 2020-08-11 |
| 1360 | Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose the use of an image retrieval system to assist the image-to-image translation task. |
RAUL GOMEZ et. al. | arxiv-cs.CV | 2020-08-11 |
| 1361 | Block Shuffle: A Method For High-resolution Fast Style Transfer With Limited Memory Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To solve this problem, we propose a novel image synthesis method named \emph{block shuffle}, which converts a single task with high memory consumption to multiple subtasks with low memory consumption. |
Weifeng Ma; Zhe Chen; Caoting Ji; | arxiv-cs.CV | 2020-08-09 |
| 1362 | Multimodal Image-to-Image Translation Via Mutual Information Estimation and Maximization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve the problem, we propose a simple yet effective method that explicitly estimates and maximizes the mutual information between the latent code and the output image in cGANs by using a deep mutual information neural estimator in this paper. |
ZHIWEN ZUO et. al. | arxiv-cs.CV | 2020-08-08 |
| 1363 | Generative Adversarial Networks For Image And Video Synthesis: Algorithms And Applications IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide an overview of GANs with a special focus on algorithms and applications for visual synthesis. |
Ming-Yu Liu; Xun Huang; Jiahui Yu; Ting-Chun Wang; Arun Mallya; | arxiv-cs.CV | 2020-08-06 |
| 1364 | Neural Style Transfer For Remote Sensing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The purpose of this study is to present a method for creating artistic maps from satellite images, based on the NST algorithm. |
Maria Karatzoglidi; Georgios Felekis; Eleni Charou; | arxiv-cs.CV | 2020-07-31 |
| 1365 | Style Is A Distribution Of Features Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new algorithm for style transfer that fully extracts the style from the features by redefining the style loss as the Wasserstein distance between the distribution of features. |
Eddie Huang; Sahil Gupta; | arxiv-cs.CV | 2020-07-25 |
| 1366 | Deep Preset: Blending And Retouching Photos With Color Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: End-users, without knowledge in photography, desire to beautify their photos to have a similar color style as a well-retouched reference. However, the definition of style in … |
Man M. Ho; Jinjia Zhou; | arxiv-cs.CV | 2020-07-21 |
| 1367 | MosAIc: Finding Artistic Connections Across Culture with Conditional Image Retrieval Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce MosAIc, an interactive web app that allows users to find pairs of semantically related artworks that span different cultures, media, and millennia. To quantify the performance of CIR systems, we introduce new datasets for evaluating CIR methods and show that CIR performs non-parametric style transfer. |
MARK HAMILTON et. al. | arxiv-cs.LG | 2020-07-14 |
| 1368 | Lightweight Modules For Efficient Deep Learning Based Image Restoration IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose several lightweight low-level modules which can be used to create a computationally low cost variant of a given baseline model. |
Avisek Lahiri; Sourav Bairagya; Sutanu Bera; Siddhant Haldar; Prabir Kumar Biswas; | arxiv-cs.CV | 2020-07-11 |
| 1369 | Fast Real-time Counterfactual Explanations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Counterfactual explanations are considered, which is to answer {\it why the prediction is class A but not B.} Different from previous optimization based methods, an optimization-free Fast ReAl-time Counterfactual Explanation (FRACE) algorithm is proposed benefiting from the development of multi-domain image to image translation algorithms. |
Yunxia Zhao; | arxiv-cs.CV | 2020-07-11 |
| 1370 | Geometric Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our contribution is to introduce a neural architecture that supports transfer of geometric style. |
Xiao-Chang Liu; Xuan-Yi Li; Ming-Ming Cheng; Peter Hall; | arxiv-cs.CV | 2020-07-10 |
| 1371 | StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel pipeline to build robust deep neural networks for AMR classification based on StyPath, a histological data augmentation technique that leverages a light weight style-transfer algorithm as a means to reduce sample-specific bias. |
PIETRO ANTONIO CICALESE et. al. | arxiv-cs.CV | 2020-07-09 |
| 1372 | Improving Style-Content Disentanglement In Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a principled approach for improving style-content disentanglement in image-to-image translation. |
Aviv Gabbay; Yedid Hoshen; | arxiv-cs.CV | 2020-07-09 |
| 1373 | Towards Unsupervised Learning For Instrument Segmentation In Robotic Surgery With Cycle-Consistent Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since generated annotations will not directly correspond to endoscopic images due to errors, we formulate the problem as an unpaired image-to-image translation where the goal is to learn the mapping between an input endoscopic image and a corresponding annotation using an adversarial model. |
Daniil Pakhomov; Wei Shen; Nassir Navab; | arxiv-cs.CV | 2020-07-08 |
| 1374 | Diverse and Styled Image Captioning Using Singular Value Decomposition‐based Mixture of Recurrent Experts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With significant advances in vision and natural language processing, the generation of image captions becomes a need. Mathews, Xie, and He extended a new model to generate styled … |
Marzi Heidari; M. Ghatee; A. Nickabadi; Arash Pourhasan Nezhad; | Concurrency and Computation: Practice and Experience | 2020-07-07 |
| 1375 | Diverse And Styled Image Captioning Using SVD-Based Mixture Of Recurrent Experts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To validate this captioning model, we use Microsoft COCO which is a standard factual image caption dataset. |
Marzieh Heidari; Mehdi Ghatee; Ahmad Nickabadi; Arash Pourhasan Nezhad; | arxiv-cs.CV | 2020-07-07 |
| 1376 | MCMI: Multi-Cycle Image Translation With Mutual Information Constraints Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a mutual information-based framework for unsupervised image-to-image translation. |
Xiang Xu; Megha Nawhal; Greg Mori; Manolis Savva; | arxiv-cs.CV | 2020-07-06 |
| 1377 | Deep Single Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we demonstrate that simply training a conditional adversarial generator on the single target image is sufficient for performing complex image manipulations. |
Yael Vinker; Eliahu Horwitz; Nir Zabari; Yedid Hoshen; | arxiv-cs.CV | 2020-07-02 |
| 1378 | Analogical Image Translation For Fog Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we are interested in adding adverse weather effects, more specifically fog effects, to images taken in clear weather. |
Rui Gong; Dengxin Dai; Yuhua Chen; Wen Li; Luc Van Gool; | arxiv-cs.CV | 2020-06-28 |
| 1379 | Perspective Plane Program Induction From A Single Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given an input image, our goal is to induce a neuro-symbolic, program-like representation that jointly models camera poses, object locations, and global scene structures. |
YIKAI LI et. al. | arxiv-cs.CV | 2020-06-25 |
| 1380 | Image-to-image Mapping With Many Domains By Sparse Attribute Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an alternate approach that directly restricts the generator to performing a simple sparse transformation in a latent layer, motivated by recent work from cognitive neuroscience suggesting an architectural prior on representations corresponding to consciousness. |
MATTHEW AMODIO et. al. | arxiv-cs.CV | 2020-06-23 |
| 1381 | PoseGAN: A Pose-to-Image Translation Framework For Camera Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a pose-to-image translation framework to tackle the camera localization problem. |
Kanglin Liu; Qing Li; Guoping Qiu; | arxiv-cs.CV | 2020-06-22 |
| 1382 | Global Image Sentiment Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a novel framework consisting of a reference image retrieval step and a global sentiment transfer step to transfer sentiments of images according to a given sentiment tag. |
Jie An; Tianlang Chen; Songyang Zhang; Jiebo Luo; | arxiv-cs.CV | 2020-06-21 |
| 1383 | Frustratingly Simple Domain Generalization Via Image Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the Domain Generalization problem, where the classifier must generalize to an unknown target domain. |
Nathan Somavarapu; Chih-Yao Ma; Zsolt Kira; | arxiv-cs.CV | 2020-06-19 |
| 1384 | Wasserstein Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Gaussian optimal transport for image style transfer in an Encoder/Decoder framework. |
Youssef Mroueh; | aistats | 2020-06-18 |
| 1385 | Multi-Density Sketch-to-Image Translation Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the first multi-level density sketch-to-image translation framework, which allows the input sketch to cover a wide range from rough object outlines to micro structures. |
Jialu Huang; Jing Liao; Zhifeng Tan; Sam Kwong; | arxiv-cs.CV | 2020-06-18 |
| 1386 | Progressively Unfreezing Perceptual GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a general framework, called Progressively Unfreezing Perceptual GAN (PUPGAN), which can generate images with fine texture details. |
Jinxuan Sun; Yang Chen; Junyu Dong; Guoqiang Zhong; | arxiv-cs.CV | 2020-06-17 |
| 1387 | RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the RL-scene consistency loss for image translation, which ensures that the translation operation is invariant with respect to the Q-values associated with the image. |
KANISHKA RAO et. al. | arxiv-cs.RO | 2020-06-16 |
| 1388 | MaskGAN: Towards Diverse and Interactive Facial Image Manipulation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome these drawbacks, we propose a novel framework termed MaskGAN, enabling diverse and interactive face manipulation. To facilitate extensive studies, we construct a large-scale high-resolution face dataset with fine-grained mask annotations named CelebAMask-HQ. |
Cheng-Han Lee; Ziwei Liu; Lingyun Wu; Ping Luo; | cvpr | 2020-06-08 |
| 1389 | Semantic Image Manipulation Using Scene Graphs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our goal is to encode image information in a given constellation and from there on generate new constellations, such as replacing objects or even changing relationships between objects, while respecting the semantics and style from the original image. |
HELISA DHAMO et. al. | cvpr | 2020-06-08 |
| 1390 | Collaborative Distillation for Ultra-Resolution Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a new knowledge distillation method (named Collaborative Distillation) for encoder-decoder based neural style transfer to reduce the convolutional filters. |
Huan Wang; Yijun Li; Yuehai Wang; Haoji Hu; Ming-Hsuan Yang; | cvpr | 2020-06-08 |
| 1391 | Novel Object Viewpoint Estimation Through Reconstruction Alignment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of this paper is to estimate the viewpoint for a novel object. |
Mohamed El Banani; Jason J. Corso; David F. Fouhey; | cvpr | 2020-06-08 |
| 1392 | Stylization-Based Architecture for Fast Deep Exemplar Colorization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To tackle these problems, we propose a deep exemplar colorization architecture inspired by the characteristics of stylization in feature extracting and blending. |
Zhongyou Xu; Tingting Wang; Faming Fang; Yun Sheng; Guixu Zhang; | cvpr | 2020-06-08 |
| 1393 | Neural Pose Transfer By Spatially Adaptive Instance Normalization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Particularly in this paper, we are interested in transferring the pose of source human mesh to deform the target human mesh, while the source and target meshes may have different identity information. |
JIASHUN WANG et. al. | cvpr | 2020-06-08 |
| 1394 | Diversified Arbitrary Style Transfer Via Deep Feature Perturbation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle these limitations and propose a simple yet effective method for diversified arbitrary style transfer. |
ZHIZHONG WANG et. al. | cvpr | 2020-06-08 |
| 1395 | C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce C-Flow, a novel conditioning scheme that brings normalizing flows to an entirely new scenario with great possibilities for multimodal data modeling. |
Albert Pumarola; Stefan Popov; Francesc Moreno-Noguer; Vittorio Ferrari; | cvpr | 2020-06-08 |
| 1396 | Cross-Domain Correspondence Learning for Exemplar-Based Image Translation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a general framework for exemplar-based image translation, which synthesizes a photo-realistic image from the input in a distinct domain (e.g., semantic segmentation mask, or edge map, or pose keypoints), given an exemplar image. |
Pan Zhang; Bo Zhang; Dong Chen; Lu Yuan; Fang Wen; | cvpr | 2020-06-08 |
| 1397 | Exploring Unlabeled Faces for Novel Attribute Discovery IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we attempt to alleviate this necessity for labeled data in the facial image translation domain. |
Hyojin Bahng; Sunghyo Chung; Seungjoo Yoo; Jaegul Choo; | cvpr | 2020-06-08 |
| 1398 | Domain Adaptation for Image Dehazing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a domain adaptation paradigm, which consists of an image translation module and two image dehazing modules. |
Yuanjie Shao; Lerenhan Li; Wenqi Ren; Changxin Gao; Nong Sang; | cvpr | 2020-06-08 |
| 1399 | High-Resolution Daytime Translation Without Domain Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the high-resolution daytime translation (HiDT) model for this task. |
IVAN ANOKHIN et. al. | cvpr | 2020-06-08 |
| 1400 | Learning to Transfer Texture From Clothing Images to 3D Humans IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a simple yet effective method to automatically transfer textures of clothing images (front and back) to 3D garments worn on top SMPL, in real time. |
Aymen Mir; Thiemo Alldieck; Gerard Pons-Moll; | cvpr | 2020-06-08 |
| 1401 | ManiGAN: Text-Guided Image Manipulation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of our paper is to semantically edit parts of an image matching a given text that describes desired attributes (e.g., texture, colour, and background), while preserving other contents that are irrelevant to the text. |
Bowen Li; Xiaojuan Qi; Thomas Lukasiewicz; Philip H.S. Torr; | cvpr | 2020-06-08 |
| 1402 | Interpreting The Latent Space of GANs for Semantic Face Editing IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs. |
Yujun Shen; Jinjin Gu; Xiaoou Tang; Bolei Zhou; | cvpr | 2020-06-08 |
| 1403 | Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to capture the pose of real animals using synthetic training examples, without using any manual supervision. |
SIYUAN LI et. al. | cvpr | 2020-06-08 |
| 1404 | Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a neural style transfer model to generate a stylized image conditioning on a set of examples describing the desired style. |
Jan Svoboda; Asha Anoosheh; Christian Osendorfer; Jonathan Masci; | cvpr | 2020-06-08 |
| 1405 | Time Flies: Animating A Still Image With Time-Lapse Video As Reference IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a self-supervised end-to-end model to generate the time-lapse video from a single image and a reference video. |
Chia-Chi Cheng; Hung-Yu Chen; Wei-Chen Chiu; | cvpr | 2020-06-08 |
| 1406 | DUNIT: Detection-Based Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a Detection-based Unsupervised Image-to-image Translation (DUNIT) approach that explicitly accounts for the object instances in the translation process. |
Deblina Bhattacharjee; Seungryong Kim; Guillaume Vizier; Mathieu Salzmann; | cvpr | 2020-06-08 |
| 1407 | Distribution Aligned Multimodal And Multi-Domain Image Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a unified framework for multimodal and multi-domain style transfer with the support of both exemplar-based reference and randomly sampled guidance. |
MINXUAN LIN et. al. | arxiv-cs.CV | 2020-06-02 |
| 1408 | Ear2Face: Deep Biometric Modality Mapping Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the correlation between different visual biometric modalities. |
Dogucan Yaman; Fevziye Irem Eyiokur; Hazım Kemal Ekenel; | arxiv-cs.CV | 2020-06-02 |
| 1409 | Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a domain adaptation framework which employs a style transfer technique for transfer learning from visible spectrum images to thermal images. |
FARZEEN MUNIR et. al. | arxiv-cs.CV | 2020-06-01 |
| 1410 | Region-adaptive Texture Enhancement For Detailed Person Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we presents RATE-Net, a novel framework for synthesizing person images with sharp texture details. |
LINGBO YANG et. al. | arxiv-cs.CV | 2020-05-25 |
| 1411 | Fake Face Detection Via Adaptive Residuals Extraction Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an adaptive residuals extraction network (AREN), which serves as pre-processing to suppress image content and highlight tampering artifacts. |
Zhiqing Guo; Gaobo Yang; Jiyou Chen; Xingming Sun; | arxiv-cs.CV | 2020-05-11 |
| 1412 | Kunster — AR Art Video Maker — Real Time Video Neural Style Transfer On Mobile Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a solution to both of these problems. |
Wojciech Dudzik; Damian Kosowski; | arxiv-cs.CV | 2020-05-07 |
| 1413 | Review Of Text Style Transfer Based On Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article summarizes the research on the text style transfer model based on deep learning in recent years, and summarizes, analyzes and compares the main research directions and progress. In addition, the article also introduces public data sets and evaluation indicators commonly used for text style transfer. |
XIANGYANG LI et. al. | arxiv-cs.CL | 2020-05-06 |
| 1414 | Interactive Video Stylization Using Few-Shot Patch-Based Training IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. |
ONDŘEJ TEXLER et. al. | arxiv-cs.GR | 2020-04-29 |
| 1415 | Style-transfer GANs For Bridging The Domain Gap In Synthetic Pose Estimator Training IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to adopt general-purpose GAN models for pixel-level image translation, allowing to formulate the domain gap itself as a learning problem. |
Pavel Rojtberg; Thomas Pöllabauer; Arjan Kuijper; | arxiv-cs.CV | 2020-04-28 |
| 1416 | D2NA: Day-To-Night Adaptation For Vision Based Parking Management System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel framework based on day-night domain adaptation, feature disentanglement, and style transfer to transfer the knowledge from day to night. |
W. Zheng; V. Tran and C. Huang; | icassp | 2020-04-26 |
| 1417 | One-Shot Parametric Audio Production Style Transfer With Application To Frequency Equalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper], [we present a method that facilitates this process by inferring appropriate audio effect parameters in order to make an input recording sound similar to an unrelated reference recording. |
S. I. Mimilakis; N. J. Bryan and P. Smaragdis; | icassp | 2020-04-26 |
| 1418 | Unsupervised Image-to-Image Translation Via Fair Representation Of Gender Bias Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a framework of unsupervised Image-to-Image translation that learns a fair representation by separating the latent space of our model into two purposes: 1) Target Attribute Editing, 2) Gender Preserving. |
S. Hwang and H. Byun; | icassp | 2020-04-26 |
| 1419 | ST$^2$: Small-data Text Style Transfer Via Multi-task Meta-Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we develop a meta-learning framework to transfer between any kind of text styles, including personal writing styles that are more fine-grained, share less content and have much smaller training data. |
Xiwen Chen; Kenny Q. Zhu; | arxiv-cs.CL | 2020-04-24 |
| 1420 | Style Your Face Morph And Improve Your Face Morphing Attack Detector IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a style transfer based method that improves the quality of morphed face images. |
Clemens Seibold; Anna Hilsmann; Peter Eisert; | arxiv-cs.CV | 2020-04-23 |
| 1421 | Line Art Correlation Matching Feature Transfer Network For Automatic Animation Colorization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, we design a kind of correlation matching feature transfer model (called CMFT) to align the colored reference feature in a learnable way and integrate the model into an U-Net based generator in a coarse-to-fine manner. |
Zhang Qian; Wang Bo; Wen Wei; Li Hai; Liu Jun Hui; | arxiv-cs.CV | 2020-04-14 |
| 1422 | Decoupling Global and Local Representations Via Invertible Generative Flows IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a new generative model that is capable of automatically decoupling global and local representations of images in an entirely unsupervised setting, by embedding a generative flow in the VAE framework to model the decoder. |
Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard Hovy; | arxiv-cs.CV | 2020-04-11 |
| 1423 | Structural-analogy from A Single Image Pair Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the capabilities of neural networks to understand image structure given only a single pair of images, A and B. |
Sagie Benaim; Ron Mokady; Amit Bermano; Daniel Cohen-Or; Lior Wolf; | arxiv-cs.CV | 2020-04-05 |
| 1424 | When Autonomous Systems Meet Accuracy And Transferability Through AI: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we review the learning-based approaches in autonomous systems from the perspectives of accuracy and transferability. |
CHONGZHEN ZHANG et. al. | arxiv-cs.LG | 2020-03-29 |
| 1425 | Controllable Person Image Synthesis With Attribute-Decomposed GAN IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes (e.g., pose, head, upper clothes and pants) provided in various source inputs. |
Yifang Men; Yiming Mao; Yuning Jiang; Wei-Ying Ma; Zhouhui Lian; | arxiv-cs.CV | 2020-03-27 |
| 1426 | High-Resolution Daytime Translation Without Domain Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the high-resolution daytime translation (HiDT) model for this task. |
IVAN ANOKHIN et. al. | arxiv-cs.CV | 2020-03-19 |
| 1427 | A Content Transformation Block For Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we introduce a content transformation module between the encoder and decoder. |
Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma; Sabine Lang; Björn Ommer; | arxiv-cs.CV | 2020-03-18 |
| 1428 | Parameter-Free Style Projection for Arbitrary Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To mitigate these issues, this paper proposes a new feature-level style transformation technique, named Style Projection, for parameter-free, fast, and effective content-style transformation. |
SIYU HUANG et. al. | arxiv-cs.CV | 2020-03-17 |
| 1429 | Large-Scale Optimal Transport Via Adversarial Training With Cycle-Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an end-to-end approach for large-scale optimal transport, which directly solves the transport map and is compatible with general cost function. |
GUANSONG LU et. al. | arxiv-cs.CV | 2020-03-14 |
| 1430 | A Mobile Robot Hand-Arm Teleoperation System By Vision And IMU IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method. |
SHUANG LI et. al. | arxiv-cs.RO | 2020-03-11 |
| 1431 | DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a real-time deep learning approach for determining the 6D relative pose of Autonomous Underwater Vehicles (AUV) from a single image. |
BHARAT JOSHI et. al. | arxiv-cs.RO | 2020-03-11 |
| 1432 | Unpaired Image-to-Image Translation Using Adversarial Consistency Loss IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel adversarial-consistency loss for image-to-image translation. |
Yihao Zhao; Ruihai Wu; Hao Dong; | arxiv-cs.CV | 2020-03-10 |
| 1433 | StyleGAN2 Distillation For Feed-forward Image Manipulation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a way to distill a particular image manipulation of StyleGAN2 into image-to-image network trained in paired way. |
Yuri Viazovetskyi; Vladimir Ivashkin; Evgeny Kashin; | arxiv-cs.CV | 2020-03-07 |
| 1434 | Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks And Facial Manipulation Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a spread-spectrum adversarial attack, which evades blur defenses. |
Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff; | arxiv-cs.CV | 2020-03-02 |
| 1435 | GPU-Accelerated Mobile Multi-view Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a GPU-accelerated multi-view style transfer pipeline which enforces style consistency between views with on-demand performance on mobile platforms. |
PUNEET KOHLI et. al. | arxiv-cs.CV | 2020-03-02 |
| 1436 | CAPTCHA Image Generation: Two-Step Style-Transfer Learning in Deep Neural Networks † Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Mobile devices such as sensors are used to connect to the Internet and provide services to users. Web services are vulnerable to automated attacks, which can restrict mobile … |
Hyun Kwon; H. Yoon; Ki-Woong Park; | Sensors (Basel, Switzerland) | 2020-03-01 |
| 1437 | Style Transfer For Light Field Photography IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we explore methods for applying neural style transfer to light field images. |
David Hart; Jessica Greenland; Bryan Morse; | arxiv-cs.CV | 2020-02-25 |
| 1438 | Multi-Attribute Guided Painting Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Under this circumstance, we propose a novel framework adopting multiple attributes from the painting to control the stylized results. |
Minxuan Lin; Yingying Deng; Fan Tang; Weiming Dong; Changsheng Xu; | arxiv-cs.CV | 2020-02-25 |
| 1439 | The Surprising Effectiveness Of Linear Models For Visual Foresight In Object Pile Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem of pushing piles of small objects into a desired target set using visual feedback. |
H. J. Terry Suh; Russ Tedrake; | arxiv-cs.RO | 2020-02-20 |
| 1440 | Learning To Generate Multiple Style Transfer Outputs For An Input Sentence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the limitation, we propose a one-to-many text style transfer framework. |
Kevin Lin; Ming-Yu Liu; Ming-Ting Sun; Jan Kautz; | arxiv-cs.CL | 2020-02-16 |
| 1441 | GANILLA: Generative Adversarial Networks For Image To Illustration Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore illustrations in children’s books as a new domain in unpaired image-to-image translation. |
Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu; | arxiv-cs.CV | 2020-02-13 |
| 1442 | A Probabilistic Formulation Of Unsupervised Text Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. |
Junxian He; Xinyi Wang; Graham Neubig; Taylor Berg-Kirkpatrick; | arxiv-cs.CL | 2020-02-10 |
| 1443 | Dynamic Instance Normalization for Arbitrary Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new and generalized normalization module, termed as Dynamic Instance Normalization (DIN), that allows for flexible and more efficient arbitrary style transfers. |
YONGCHENG JING et. al. | aaai | 2020-02-07 |
| 1444 | Recognizing Instagram Filtered Images with Feature De-Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a study on how popular pretrained models are affected by commonly used Instagram filters. |
Zhe Wu; Zuxuan Wu; Bharat Singh; Larry Davis; | aaai | 2020-02-07 |
| 1445 | EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead, we propose a novel transfer framework, EFANet, that aims to jointly analyze and better align exchangeable features extracted from the content and style image pair. |
Zhijie Wu; Chunjin Song; Yang Zhou; Minglun Gong; Hui Huang; | aaai | 2020-02-07 |
| 1446 | Monolingual Transfer Learning Via Bilingual Translators for Style-Sensitive Paraphrase Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We tackle the low-resource problem in style transfer by employing transfer learning that utilizes abundantly available raw corpora. |
Tomoyuki Kajiwara; Biwa Miura; Yuki Arase; | aaai | 2020-02-07 |
| 1447 | Age Progression and Regression with Spatial Attention Modules IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these issues, in this paper, we propose a framework based on conditional Generative Adversarial Networks (cGANs) to achieve age progression and regression simultaneously. |
Qi Li; Yunfan Liu; Zhenan Sun; | aaai | 2020-02-07 |
| 1448 | GAN-Based Unpaired Chinese Character Image Translation Via Skeleton Transformation and Stroke Rendering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, in this work, we propose a three-stage Generative Adversarial Network (GAN) architecture for multi-chirography image translation, which is divided into skeleton extraction, skeleton transformation and stroke rendering with unpaired training data. |
Yiming Gao; Jiangqin Wu; | aaai | 2020-02-07 |
| 1449 | RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system that draws stylized human face sketches interactively in front of human users, by using the Generative Adversarial Network (GAN)-based style transfer and a Random-Key Genetic Algorithm (RKGA)-based path optimization. |
TIANYING WANG et. al. | aaai | 2020-02-07 |
| 1450 | MemCap: Memorizing Style Knowledge for Image Captioning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose MemCap, a novel stylized image captioning method that explicitly encodes the knowledge about linguistic styles with memory mechanism. |
Wentian Zhao; Xinxiao Wu; Xiaoxun Zhang; | aaai | 2020-02-07 |
| 1451 | Consistent Video Style Transfer Via Compound Regularization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Combining with the new cost formula, we design a zero-shot video style transfer framework. |
Wenjing Wang; Jizheng Xu; Li Zhang; Yue Wang; Jiaying Liu; | aaai | 2020-02-07 |
| 1452 | Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel model named Multi-Channel Attention Selection Generative Adversarial Network (SelectionGAN) for guided image-to-image translation, where we translate an input image into another while respecting an external semantic guidance. |
Hao Tang; Philip H. S. Torr; Nicu Sebe; | arxiv-cs.CV | 2020-02-03 |
| 1453 | Visualisation Of Medical Image Fusion And Translation For Accurate Diagnosis Of High Grade Gliomas Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel approach to compute a confidence heat map between the source-target image pair by estimating the information transfer from the source to the target image using the joint probability distribution of the two images. |
Nishant Kumar; Nico Hoffmann; Matthias Kirsch; Stefan Gumhold; | arxiv-cs.CV | 2020-01-26 |
| 1454 | Deformation-aware Unpaired Image Translation For Pose Estimation On Laboratory Animals IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. |
SIYUAN LI et. al. | arxiv-cs.CV | 2020-01-23 |
| 1455 | P$^2$-GAN: Efficient Style Transfer Using Single Style Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a novel Patch Permutation GAN (P$^2$-GAN) network that can efficiently learn the stroke style from a single style image is proposed. |
Zhentan Zheng; Jianyi Liu; | arxiv-cs.CV | 2020-01-21 |
| 1456 | Neural Style Difference Transfer And Its Application To Font Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we will introduce a method to create fonts automatically. |
Gantugs Atarsaikhan; Brian Kenji Iwana; Seiichi Uchida; | arxiv-cs.CV | 2020-01-20 |
| 1457 | ImagineNet: Restyling Apps Using Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a neural solution by adding a new loss term to the original formulation, which minimizes the squared error in the uncentered cross-covariance of features from different levels in a CNN between the style and output images. |
Michael H. Fischer; Richard R. Yang; Monica S. Lam; | arxiv-cs.CV | 2020-01-14 |
| 1458 | Neural Human Video Rendering By Learning Dynamic Textures and Rendering-to-Video Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel human video synthesis method that approaches these limiting factors by explicitly disentangling the learning of time-coherent fine-scale details from the embedding of the human in 2D screen space. |
LINGJIE LIU et. al. | arxiv-cs.GR | 2020-01-14 |
| 1459 | CrDoCo: Pixel-level Domain Transfer With Cross-Domain Consistency IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel pixel-wise adversarial domain adaptation algorithm. |
Yun-Chun Chen; Yen-Yu Lin; Ming-Hsuan Yang; Jia-Bin Huang; | arxiv-cs.CV | 2020-01-09 |
| 1460 | Do As I Do: Transferring Human Motion And Appearance Between Monocular Videos With Spatial And Temporal Constraints IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a unifying formulation for transferring appearance and retargeting human motion from monocular videos that regards all these aspects. |
Thiago L. Gomes; Renato Martins; João Ferreira; Erickson R. Nascimento; | arxiv-cs.CV | 2020-01-08 |
| 1461 | Deceiving Image-to-Image Translation Networks For Autonomous Driving With Adversarial Perturbations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose both quasi-physical and digital adversarial perturbations that can make Im2Im models yield unexpected results. |
Lin Wang; Wonjune Cho; Kuk-Jin Yoon; | arxiv-cs.CV | 2020-01-06 |
| 1462 | MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this challenging problem, we propose a novel framework called Multi-Warping GAN (MW-GAN), including a style network and a geometric network that are designed to conduct style transfer and geometric exaggeration respectively. |
Haodi Hou; Jing Huo; Jing Wu; Yu-Kun Lai; Yang Gao; | arxiv-cs.CV | 2020-01-06 |
| 1463 | Person Image Synthesis Through Siamese Generative Adversarial Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
YING CHEN et. al. | Neurocomputing | 2020-01-01 |
| 1464 | Rorschach Inkblot Image Stylization Using Silhouette Matching and Paper Texture Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jong Chul Yoon; | Journal of Engineering and Applied Sciences | 2020-01-01 |
| 1465 | 3D Plant Growth Prediction Via Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Tomohiro Hamamoto; Hideaki Uchiyama; Atsushi Shimada; Rin-ichiro Taniguchi; | 2020-01-01 | |
| 1466 | Medical Image Processing with Contextual Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With recent advances in deep learning research, generative models have achieved great achievements and play an increasingly important role in current industrial applications. At … |
Yin Xu; Yan Li; Byeong-Seok Shin; | Human-centric Computing and Information Sciences | 2020-01-01 |
| 1467 | 7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks (GAN) have a wide range of applications, from image style transfer to synthetic voice generation [1]. GAN applications on mobile devices, such as … |
SANGHOON KANG et. al. | 2020 IEEE International Solid- State Circuits Conference – … | 2020-01-01 |
| 1468 | Advanced Artistic Style Transfer Using Deep Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: At present, neural style transfer technique is gaining more and more popularity in different fields like sports and entertainment. During the artistic style transfer of an image, … |
Kabid Hassan Shibly; Sazia Rahman; Samrat Kumar Dey; Shahadat Hossain Shamim; | 2020-01-01 | |
| 1469 | Style-Controlled Synthesis of Clothing Segments for Fashion Image Manipulation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose an approach for digitally altering people’s outfits in images. Given images of a person and a desired clothing style, our method generates a new clothing item image. … |
Bo-Kyeong Kim; Geonmin Kim; Soo-Young Lee; | IEEE Transactions on Multimedia | 2020-01-01 |
| 1470 | The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural Style Transfer has been successfully applied for generating plausible novel 2D images by transferring the style of a painting to an existing content image and has been … |
Timo Friedrich; Patricia Wollstadt; Stefan Menzel; | 2020 IEEE Symposium Series on Computational Intelligence … | 2020-01-01 |
| 1471 | Learned Representation of Satellite Image Series for Data Compression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time transmission of satellite video data is one of the fundamentals in the applications of video satellite. Making use of the historical information to eliminate the … |
Liang Liao; Jing Xiao; Yating Li; Mi Wang; Ruimin Hu; | Remote. Sens. | 2020-01-01 |
| 1472 | Resolution Booster: Global Structure Preserving Stitching Method for Ultra-High Resolution Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current image translation networks (for instance image to image translation, style transfer et al.) have strict limitation on input image resolution due to high spatial … |
Siying Zhai; Xiwei Hu; Xuanhong Chen; Bingbing Ni; Wenjun Zhang; | 2020-01-01 | |
| 1473 | Improving Material Translation Based on Style Image Retrieval for Neural Style Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gibran Benitez-Garcia; Keiji Yanai; | 2020-01-01 | |
| 1474 | Food Image Generation and Translation and Its Application to Augmented Reality Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Food image recognition has drawn attention because it is important technology to record and manage people’s eating habits automatically. In addition, recently, due to the great … |
Keiji Yanai; Daichi Horita; Jaehyeong Cho; | 2020 IEEE Conference on Multimedia Information Processing … | 2020-01-01 |
| 1475 | Patch-based Painting Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Approaches based on convolutional neural network framework have proven to be effective in various of style transfer scenario. Most approaches train the network to process the … |
Fay Huang; Chia-Lin Chien; | 2020 IEEE International Conference on Consumer Electronics … | 2020-01-01 |
| 1476 | Optimal Tone Reproduction of Different Oil Painting Style Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The stylization of image art has become more and more familiar as a booming field, and has attracted the interest of many scholars. This paper summarizes the influence of … |
Jing Geng; Congjun Cao; | 2020-01-01 | |
| 1477 | Leveraging Smart Devices for Scene Text Preserved Image Stylization: A Deep Gaming Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid advancement of real-time rendering quality in digital art, the use of computer vision techniques has become popular in producing aesthetically pleasing stylized … |
Randheer Bagi; Sabyasachi Mohanty; Tanima Dutta; Hari Prabhat Gupta; | IEEE MultiMedia | 2020-01-01 |
| 1478 | An Overview of Image-to-Image Translation Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xin Chen; Caiyan Jia; | 2020-01-01 | |
| 1479 | Neural Saliency Algorithm Guide Bi-directional Visual Perception Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The artistic style transfer of images aims to synthesise novel images by combining the content of one image with the style of another, which is a long-standing research topic and … |
CHUNBIAO ZHU et. al. | CAAI Trans. Intell. Technol. | 2020-01-01 |
| 1480 | Feature-attention Module for Context-aware Image-to-image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In a summer2winter image-to-image translation, trees should be transformed from green to gray, but the colors of houses or girls should not be changed. However, current … |
Jing Bai; Ran Chen; Min Liu; | Vis. Comput. | 2020-01-01 |
| 1481 | Portrait Style Transfer with Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Portrait style transfer is a hot and practical direction for in-depth learning. As a deep learning model, Generative Adversarial Networks (GANs) have been widely used in image … |
Qingyun Liu; Feng Zhang; Mugang Lin; Ying Wang; | 2020-01-01 | |
| 1482 | Unpaired Domain Transfer for Data Augment in Face Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face recognition is one of the hottest issues in the field of computer vision and pattern recognition. Deep learning-based recognition models already have more exceptional … |
Jinjin Liu; Qingbao Li; Ping Zhang; Guimin Zhang; Ming Liu; | IEEE Access | 2020-01-01 |
| 1483 | Hair Shading Style Transfer for Manga with CGAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Coloring line drawings is an important process in creating a rtwork. In coloring, a shading style is where an artist’s style is the most noticeable. Artists spend a great d l of … |
Masashi Aizawa; Ryohei Orihara; Yuichi Sei; Yasuyuki Tahara; Akihiko Ohsuga; | 2020-01-01 | |
| 1484 | Evaluating Generative Adversarial Networks Based Image-level Domain Transfer for Multi-source Remote Sensing Image Segmentation and Object Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Appearances and qualities of remote sensing images are affected by different atmospheric conditions, quality of sensors, and radiometric calibrations. This heavily challenges the … |
Xue Li; Muying Luo; Shunping Ji; Li Zhang; Meng Lu; | International Journal of Remote Sensing | 2020-01-01 |
| 1485 | Artifact-Free Image Style Transfer By Using Feature Map Clamping Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer is an application that applies colors and patterns of a style image to a content image. In the previous style transfer method, a decoder was trained by using only … |
Hyeonjin Lee; Hyun-Chul Choi; | IEEE Access | 2020-01-01 |
| 1486 | Realistic Style-Transfer Generative Adversarial Network With A Weight-Sharing Strategy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer aims to generate images by combining the style of one image and the content of another. Though valuable efforts have been made in generating high-quality style … |
Shixiong Zhu; Xiangfeng Luo; Liyan Ma; Shaorong Xie; Han Zhang; | 2020 IEEE 32nd International Conference on Tools with … | 2020-01-01 |
| 1487 | Quality Assessment of SAR-to-Optical Image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic aperture radar (SAR) images contain severe speckle noise and weak texture, which are unsuitable for visual interpretation. Many studies have been undertaken so far … |
Jiexin Zhang; Jianjiang Zhou; Minglei Li; Huiyu Zhou; Tianzhu Yu; | Remote. Sens. | 2020-01-01 |
| 1488 | Tampered and Computer-Generated Face Images Identification Based on Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image forgery is an active topic in digital image tampering that is performed by moving a region from one image into another image, combining two images to form one image, or … |
L. Minh Dang; Kyungbok Min; Su-Jin Lee; Dongil Han; Hyeonjoon Moon; | Applied Sciences | 2020-01-01 |
| 1489 | 3D Image Augmentation Using Neural Style Transfer and Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we take the very first step in using Neural Style Transfer and Generative Adversarial Networks for the task of 3D image augmentation. With this approach, more data … |
Cuong Do; | 2020-01-01 | |
| 1490 | Method of Image Style Transfer Based on Edge Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to overcome the problem of edge information loss in the process of neural network processing, a method of neural network style transfer based on edge detection is … |
Hanmin Ye; Wenjie Liu; Shiming Huang; | 2020 IEEE 4th Information Technology, Networking, … | 2020-01-01 |
| 1491 | Attentional Colorization Networks with Adaptive Group-Instance Normalization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a novel end-to-end image colorization framework which integrates attention mechanism and a learnable adaptive normalization function. In contrast to previous … |
Yuzhen Gao; Youdong Ding; Fei Wang; Huan Liang; | Inf. | 2020-01-01 |
| 1492 | Domain Adaptation Via Image Style Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While recent growth in modern machine learning techniques has led to remarkable strides in computer vision applications, one of the most significant challenges facing … |
Amir Atapour-Abarghouei; Toby P. Breckon; | 2020-01-01 | |
| 1493 | Intelligent Algorithm for Ceramic Decorative Pattern Style Transfer Based on CycleGAN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image style conversion refers to a technique that uses an algorithm to learn the style of a famous painting and then applies it to another picture. Current generative adversarial … |
Xinxin Liu; Hua Huang; Meikang Qiu; | 2020 7th IEEE International Conference on Cyber Security … | 2020-01-01 |
| 1494 | Stylized Text Generation: Approaches and Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Text generation has played an important role in various applications of natural language processing (NLP), and kn recent studies, researchers are paying increasing attention to … |
Lili Mou; Olga Vechtomova; | 2020-01-01 | |
| 1495 | A Research of Neural Style Transfer on Line Structure Based on Sequence to Sequence Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It has always been a challenge for drawing novices to start learning from a zero proficiency level, oftentimes the process itself can discourage them from continuing. Imagine if … |
Wei He; Lifang Chen; | IEEE Access | 2020-01-01 |
| 1496 | Correction To: Generative Image Completion with Image-to-image Translation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unfortunately, the corresponding author of this paper was incorrectly published as Shuzhen Xu in the original publication. The correct corresponding author should be Jin Wang. … |
Shuzhen Xu; Qing Zhu; Jin Wang; | Neural Computing and Applications | 2020-01-01 |
| 1497 | A Modified Generator for Multi-domain Transfer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a modified generator for multi-domain transfer. It handles various data distributions and transfer the attributes of the data, while enabling high-quality image … |
Geum-Boon Lee; | The 9th International Conference on Smart Media and … | 2020-01-01 |
| 1498 | Redistributing and Re-Stylizing Features for Training A Fast Photorealistic Stylizer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer studies can be categorized into two types—artistic and photorealistic. The high-speed transfer has been well-studied for artistic styles but remains challenging for … |
Chunpeng Wu; Bin Ni; Hai Li; | 2020 International Joint Conference on Neural Networks … | 2020-01-01 |
| 1499 | StarGAN Based Facial Expression Transfer for Anime Characters Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human facial expression transfer has been well explored using Generative Adversarial Networks. Also, in case of anime style images, several successful attempts have been made to … |
Majid Mobini; Foad Ghaderi; | 2020 25th International Computer Conference, Computer … | 2020-01-01 |
| 1500 | StyleCAPTCHA: CAPTCHA Based on Stylized Images to Defend Against Deep Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: CAPTCHAs are widely deployed for bot detection. Many CAPTCHAs are based on visual perception tasks such as text and objection classification. However, they are under serious … |
Haitian Chen; Bai Jiang; Hao Chen; | Proceedings of the 2020 ACM-IMS on Foundations of Data … | 2020-01-01 |