Paper Digest: SIGGRAPH 2024 Papers & Highlights
SIGGRAPH (Special Interest Group on Computer GRAPHics and Interactive Techniques) is the annual conference on computer graphics (CG) convened by the ACM SIGGRAPH organization, and deemed as one of the top computer graphics conferences in the world. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.
To search or review papers within SIGGRAPH-2024 related to a specific topic, please use the search by venue (SIGGRAPH-2024), review by venue (SIGGRAPH-2024) and question answering by venue (SIGGRAPH-2024) services. To browse papers by author, here is a list of all 1,100 authors (SIGGRAPH-2024). You may also like to explore our “Best Paper” Digest (SIGGRAPH), which lists the most influential SIGGRAPH papers since 2019.
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TABLE 1: Paper Digest: SIGGRAPH 2024 Papers & Highlights
| Paper | Author(s) | |
|---|---|---|
| 1 | QT-Font: High-efficiency Font Synthesis Via Quadtree-based Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, mainly due to their inefficient glyph representations, these existing FFG methods are limited to generating low-resolution glyph images. To address this problem, we introduce QT-Font, an efficient quadtree-based diffusion model specifically designed for FFG. |
Yitian Liu; Zhouhui Lian; |
| 2 | Minkowski Penalties: Robust Differentiable Constraint Enforcement for Vector Graphics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes an optimization-based framework for finding arrangements of 2D shapes subject to pairwise constraints. |
Ji\v{r}\'{\i} Minar\v{c}\'{\i}k; Sam Estep; Wode Ni; Keenan Crane; |
| 3 | Ciallo: GPU-Accelerated Rendering of Vector Brush Strokes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces novel GPU-based rendering techniques for digital painting and animation to bridge the gap between raster and vector stroke representations. |
Shen Ciao; Zhongyue Guan; Qianxi Liu; Li-Yi Wei; Zeyu Wang; |
| 4 | MaPa: Text-driven Photorealistic Material Painting for 3D Shapes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to generate materials for 3D meshes from text descriptions. |
Shangzhan Zhang; Sida Peng; Tao Xu; Yuanbo Yang; Tianrun Chen; Nan Xue; Yujun Shen; Hujun Bao; Ruizhen Hu; Xiaowei Zhou; |
| 5 | Diffusion Texture Painting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a technique that leverages 2D generative diffusion models (DMs) for interactive texture painting on the surface of 3D meshes. |
Anita Hu; Nishkrit Desai; Hassan Abu Alhaija; Seung Wook Kim; Maria Shugrina; |
| 6 | TexPainter: Generative Mesh Texturing with Multi-view Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method to enforce multi-view consistency. |
Hongkun Zhang; Zherong Pan; Congyi Zhang; Lifeng Zhu; Xifeng Gao; |
| 7 | TexSliders: Diffusion-Based Texture Editing in CLIP Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to apply diffusion techniques to edit textures, a specific class of images that are an essential part of 3D content creation pipelines. |
Julia Guerrero-Viu; Milos Hasan; Arthur Roullier; Midhun Harikumar; Yiwei Hu; Paul Guerrero; Diego Guti\'{e}rrez; Belen Masia; Valentin Deschaintre; |
| 8 | Velocity-Based Monte Carlo Fluids Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a velocity-based Monte Carlo fluid solver that overcomes the limitations of its existing vorticity-based counterpart. |
Ryusuke Sugimoto; Christopher Batty; Toshiya Hachisuka; |
| 9 | Neural Monte Carlo Fluid Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel neural network representation for fluid simulation that augments neural fields with explicitly enforced boundary conditions as well as a Monte Carlo pressure solver to get rid of all weakly enforced boundary conditions. |
Pranav Jain; Ziyin Qu; Peter Yichen Chen; Oded Stein; |
| 10 | Neural Control Variates with Automatic Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a method to leverage arbitrary neural network architecture for control variates. |
Zilu Li; Guandao Yang; Qingqing Zhao; Xi Deng; Leonidas Guibas; Bharath Hariharan; Gordon Wetzstein; |
| 11 | A Differential Monte Carlo Solver For The Poisson Equation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a general technique that differentiates solutions to the Poisson equation with Dirichlet boundary conditions. |
Zihan Yu; Lifan Wu; Zhiqian Zhou; Shuang Zhao; |
| 12 | Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel controllable and interactive 3D assets modeling framework, named Coin3D. |
Wenqi Dong; Bangbang Yang; Lin Ma; Xiao Liu; Liyuan Cui; Hujun Bao; Yuewen Ma; Zhaopeng Cui; |
| 13 | DreamFont3D: Personalized Text-to-3D Artistic Font Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach for text-to-3D artistic font generation, named DreamFont3D, which utilizes multi-view font masks and layout conditions to constrain the 3D font structure and local font effects. |
Xiang Li; Lei Meng; Lei Wu; Manyi Li; Xiangxu Meng; |
| 14 | ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present ThemeStation, a novel approach for theme-aware 3D-to-3D generation. |
Zhenwei Wang; Tengfei Wang; Gerhard Hancke; Ziwei Liu; Rynson W.H. Lau; |
| 15 | Spice·E: Structural Priors in 3D Diffusion Using Cross-Entity Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present Spice · E – a neural network that adds structural guidance to 3D diffusion models, extending their usage beyond text-conditional generation. |
Etai Sella; Gal Fiebelman; Noam Atia; Hadar Averbuch-Elor; |
| 16 | HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present HeadArtist for 3D head generation following human-language descriptions. |
Hongyu Liu; Xuan Wang; Ziyu Wan; Yujun Shen; Yibing Song; Jing Liao; Qifeng Chen; |
| 17 | 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; Yucheol Jung; Hyomin Kim; Gwangjin Ju; Chaewon Son; Jooeun Son; Seungyong Lee; |
| 18 | Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality labels, previous methods often suffer from limited realism and a lack of flexible conditioning. We address this challenge through a trilogy. |
Qingcheng Zhao; Pengyu Long; Qixuan Zhang; Dafei Qin; Han Liang; Longwen Zhang; Yingliang Zhang; Jingyi Yu; Lan Xu; |
| 19 | Path-Space Differentiable Rendering of Implicit Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we generalize the theory of differential path integrals to support implicit geometries like level sets and signed-distance functions (SDFs). |
Siwei Zhou; Youngha Chang; Nobuhiko Mukai; Hiroaki Santo; Fumio Okura; Yasuyuki Matsushita; Shuang Zhao; |
| 20 | Woven Fabric Capture with A Reflection-Transmission Photo Pair Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a two-layer model, where the single scattering uses an SGGX phase function as in previous work, and multiple scattering uses a new azimuthally-invariant microflake definition, which we term ASGGX. |
Yingjie Tang; Zixuan Li; Milos Hasan; Jian Yang; Beibei Wang; |
| 21 | MVD^2: Efficient Multiview 3D Reconstruction for Multiview Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present MVD2, an efficient 3D reconstruction method tailored for MVD images. |
Xin-Yang Zheng; Hao Pan; Yu-Xiao Guo; Xin Tong; Yang Liu; |
| 22 | High-quality Surface Reconstruction Using Gaussian Surfels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a volumetric cutting method to aggregate the information of Gaussian surfels so as to remove erroneous points in depth maps generated by alpha blending. |
Pinxuan Dai; Jiamin Xu; Wenxiang Xie; Xinguo Liu; Huamin Wang; Weiwei Xu; |
| 23 | Reach for The Arcs: Reconstructing Surfaces from SDFs Via Tangent Points Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce an algorithm to reconstruct a mesh from discrete samples of a shape’s Signed Distance Function (SDF). |
Silvia Sell\'{a}n; Yingying Ren; Christopher Batty; Oded Stein; |
| 24 | Part123: Part-aware 3D Reconstruction from A Single-view Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Part123, a novel framework for part-aware 3D reconstruction from a single-view image. |
Anran Liu; Cheng Lin; Yuan Liu; Xiaoxiao Long; Zhiyang Dou; Hao-Xiang Guo; Ping Luo; Wenping Wang; |
| 25 | Subject-Diffusion: Open Domain Personalized Text-to-Image Generation Without Test-time Fine-tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Subject-Diffusion, a novel open-domain personalized image generation model that, in addition to not requiring test-time fine-tuning, also only requires a single reference image to support personalized generation of single- or two-subjects in any domain. |
Jian Ma; Junhao Liang; Chen Chen; Haonan Lu; |
| 26 | The Chosen One: Consistent Characters in Text-to-Image Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a fully automated solution for consistent character generation, with the sole input being a text prompt. |
Omri Avrahami; Amir Hertz; Yael Vinker; Moab Arar; Shlomi Fruchter; Ohad Fried; Daniel Cohen-Or; Dani Lischinski; |
| 27 | Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for generating Streetscapes—long sequences of views through an on-the-fly synthesized city-scale scene. |
Boyang Deng; Richard Tucker; Zhengqi Li; Leonidas Guibas; Noah Snavely; Gordon Wetzstein; |
| 28 | Blue Noise for Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel and general class of diffusion models taking correlated noise within and across images into account. |
Xingchang Huang; Corentin Salaun; Cristina Vasconcelos; Christian Theobalt; Cengiz Oztireli; Gurprit Singh; |
| 29 | Neural Geometry Fields For Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Neural Geometry Fields, a neural representation for discrete surface geometry represented by triangle meshes. |
Venkataram Edavamadathil Sivaram; Tzu-Mao Li; Ravi Ramamoorthi; |
| 30 | RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. |
Zhexi Peng; Tianjia Shao; Yong Liu; Jingke Zhou; Yin Yang; Jingdong Wang; Kun Zhou; |
| 31 | BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel approach called BoostMVSNeRFs to enhance the rendering quality of MVS-based NeRFs in large-scale scenes. |
Chih-Hai Su; Chih-Yao Hu; Shr-Ruei Tsai; Jie-Ying Lee; Chin-Yang Lin; Yu-Lun Liu; |
| 32 | 2D Gaussian Splatting for Geometrically Accurate Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present 2D Gaussian Splatting (2DGS), a novel approach to model and reconstruct geometrically accurate radiance fields from multi-view images. |
Binbin Huang; Zehao Yu; Anpei Chen; Andreas Geiger; Shenghua Gao; |
| 33 | Saccade-Contingent Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we present a gaze-contingent rendering technique which only requires saccade detection, bypassing the need for highly-accurate eye tracking. |
Yuna Kwak; Eric Penner; Xuan Wang; Mohammad R. Saeedpour-Parizi; Olivier Mercier; Xiuyun Wu; Scott Murdison; Phillip Guan; |
| 34 | Perceptual Evaluation of Steered Retinal Projection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While SRP holds considerable promise, its development has been stagnant due to a lack of understanding how human vision reacts to the dynamic steering movement of the viewing window. To delve into these areas, this study introduces the first SRP system testbed specifically designed for perceptual studies on the viewing experience of pupil steering. |
Seungjae Lee; Seung-Woo Nam; Kevin Rio; Renate Landig; Hsien-Hui Cheng; Lu Lu; Barry Silverstein; |
| 35 | Real-time Wing Deformation Simulations for Flying Insects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an efficient skeleton-driven model specifically designed to real-time simulate realistic wing deformations across a wide range of flying insects. |
Qiang Chen; Zhigang Deng; Feng Li; Yuming Fang; Tingsong Lu; Yang Tong; Yifan Zuo; |
| 36 | Modelling A Feather As A Strongly Anisotropic Elastic Shell Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our experimental results suggest a linear strain-stress relationship of the feather membrane with orientation-dependent coefficients, as well as an extreme ratio of stiffnesses in the barb and barbule direction, of the order of 104. From these findings we build a simple continuum model for the feather vane, where the vane is represented as a three-parameter anisotropic elastic shell. |
Jean Jouve; Victor Romero; Rahul Narain; Laurence Boissieux; Theodore Kim; Florence Bertails-Descoubes; |
| 37 | LayGA: Layered Gaussian Avatars for Animatable Clothing Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: What’s worse, the entangled representations usually fail to exactly track the sliding motion of garments. To overcome these limitations, we present Layered Gaussian Avatars (LayGA), a new representation that formulates body and clothing as two separate layers for photorealistic animatable clothing transfer from multi-view videos. |
Siyou Lin; Zhe Li; Zhaoqi Su; Zerong Zheng; Hongwen Zhang; Yebin Liu; |
| 38 | Singular Foliations for Knit Graph Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We build upon the stripes-based knit planning framework of [Mitra et al. 2023], and view the resultant stripe pattern through the lens of singular foliations. |
Rahul Mitra; Erick Jimenez Berumen; Megan Hofmann; Edward Chien; |
| 39 | NeRF As A Non-Distant Environment Emitter in Physics-based Inverse Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although the widely adopted distant environmental lighting model is adequate in many cases, we demonstrate that its inability to capture spatially varying illumination can lead to inaccurate reconstructions in many real-world inverse rendering scenarios. To address this limitation, we incorporate NeRF as a non-distant environment emitter into the inverse rendering pipeline. |
Jingwang Ling; Ruihan Yu; Feng Xu; Chun Du; Shuang Zhao; |
| 40 | 3D Gaussian Splatting with Deferred Reflection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a deferred shading method to effectively render specular reflection with Gaussian splatting. |
Keyang Ye; Qiming Hou; Kun Zhou; |
| 41 | Lite2Relight: 3D-aware Single Image Portrait Relighting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Lite2Relight , a novel technique that can predict 3D consistent head poses of portraits while performing physically plausible light editing at interactive speed. |
Pramod Rao; Gereon Fox; Abhimitra Meka; Mallikarjun B R; Fangneng Zhan; Tim Weyrich; Bernd Bickel; Hanspeter Pfister; Wojciech Matusik; Mohamed Elgharib; Christian Theobalt; |
| 42 | EyeIR: Single Eye Image Inverse Rendering In The Wild Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to decompose a single eye region image in the wild into albedo, shading, specular, normal and illumination. |
Shijun Liang; Haofei Wang; Feng Lu; |
| 43 | Lagrangian Covector Fluid with Free Surface Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel Lagrangian fluid solver based on covector flow maps. |
Zhiqi Li; Barnab\'{a}s B\{o}rcs\{o}k; Duowen Chen; Yutong Sun; Bo Zhu; Greg Turk; |
| 44 | Fluid Control with Laplacian Eigenfunctions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel physics-based fluid control pipeline using Laplacian Eigenfluids. |
Yixin Chen; David Levin; Timothy Langlois; |
| 45 | Physics-based Scene Layout Generation from Human Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a physics-based approach that simultaneously optimizes a scene layout generator and simulates a moving human in a physics simulator. |
Jianan Li; Tao Huang; Qingxu Zhu; Tien-Tsin Wong; |
| 46 | VRMM: A Volumetric Relightable Morphable Head Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Volumetric Relightable Morphable Model (VRMM), a novel volumetric and parametric facial prior for 3D face modeling. |
Haotian Yang; Mingwu Zheng; Chongyang Ma; Yu-Kun Lai; Pengfei Wan; Haibin Huang; |
| 47 | Compressed Skinning for Facial Blendshapes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new method to bake classical facial animation blendshapes into a fast linear blend skinning representation. |
Ladislav Kavan; John Doublestein; Martin Prazak; Matthew Cioffi; Doug Roble; |
| 48 | Modal Folding: Discovering Smooth Folding Patterns for Sheet Materials Using Strain-Space Modes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Modal Folding—an automated approach for discovering energetically optimal folding transformations, i.e., large deformations that require little mechanical work. |
Pengbin Tang; Ronan Hinchet; Roi Poranne; Bernhard Thomaszewski; Stelian Coros; |
| 49 | Towards Unstructured Unlabeled Optical Mocap: A Video Helps! Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With both the video and UUO markers, we propose an optimization pipeline towards marker identification, marker labeling, human pose estimation, and human body reconstruction. |
Nicholas Milef; John Keyser; Shu Kong; |
| 50 | Physical Non-inertial Poser (PNP): Modeling Non-inertial Effects in Sparse-inertial Human Motion Capture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we model the fictitious forces that are non-neglectable in a non-inertial frame by an auto-regressive estimator delicately designed following physics. |
Xinyu Yi; Yuxiao Zhou; Feng Xu; |
| 51 | Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Ultra Inertial Poser, a novel 3D full body pose estimation method that constrains drift and jitter in inertial tracking via inter-sensor distances. |
Rayan Armani; Changlin Qian; Jiaxi Jiang; Christian Holz; |
| 52 | Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Hand manipulating objects is an important interaction motion in our daily activities. We faithfully reconstruct this motion with a single RGBD camera by a novel deep reinforcement learning method to leverage physics. |
Haoyu Hu; Xinyu Yi; Zhe Cao; Jun-Hai Yong; Feng Xu; |
| 53 | Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Neural Characteristic Trajectory Fields, a novel representation utilizing Eulerian neural fields to implicitly model Lagrangian fluid trajectories. |
Yiming Wang; Siyu Tang; Mengyu Chu; |
| 54 | Consistent Point Orientation for Manifold Surfaces Via Boundary Integration Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a new approach for generating globally consistent normals for point clouds sampled from manifold surfaces. |
Weizhou Liu; Xingce Wang; Haichuan Zhao; Xingfei Xue; Zhongke Wu; Xuequan Lu; Ying He; |
| 55 | A Linear Method to Consistently Orient Normals of A 3D Point Cloud Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an algorithm to orient a given set of normals of a 3D point cloud of size N, whose main computational component is the least-squares solution of an O(N) linear system, mostly sparse, derived from the classical Stokes’ theorem. |
Craig Gotsman; Kai Hormann; |
| 56 | Navigation-Driven Approximate Convex Decomposition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the problem of navigable approximate convex decomposition: First, define a navigable space for the input shape which other objects in the game or simulation must be able to move through, then find a decomposition which does not overlap that space. We show how to automatically find such navigable space, how to customize it, and we introduce an approximate convex decomposition algorithm that protects it. |
James Andrews; |
| 57 | Into The Portal: Directable Fractal Self-Similarity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel, directable method for introducing fractal self-similarity into arbitrary shapes. |
Alexa Schor; Theodore Kim; |
| 58 | MonoGaussianAvatar: Monocular Gaussian Point-based Head Avatar Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, 3DMM-based methods are constrained by their fixed topologies, point-based approaches suffer from a heavy training burden due to the extensive quantity of points involved, and the last ones suffer from limitations in deformation flexibility and rendering efficiency. In response to these challenges, we propose MonoGaussianAvatar (Monocular Gaussian Point-based Head Avatar), a novel approach that harnesses 3D Gaussian point representation coupled with a Gaussian deformation field to learn explicit head avatars from monocular portrait videos. |
Yufan Chen; Lizhen Wang; Qijing Li; Hongjiang Xiao; Shengping Zhang; Hongxun Yao; Yebin Liu; |
| 59 | InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel framework, Incremental 3D GAN Inversion, that enhances avatar reconstruction performance using an algorithm designed to increase the fidelity from multiple frames, resulting in improved reconstruction quality proportional to frame count. |
Xiaochen Zhao; Jingxiang Sun; Lizhen Wang; Jinli Suo; Yebin Liu; |
| 60 | 3D Gaussian Blendshapes for Head Avatar Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce 3D Gaussian blendshapes for modeling photorealistic head avatars. |
Shengjie Ma; Yanlin Weng; Tianjia Shao; Kun Zhou; |
| 61 | Real-Time Hair Rendering with Hair Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present how the hair mesh structure can be used for efficiently rendering strand-based hair models on the GPU with on-the-fly geometry generation that provides orders of magnitude reduction in storage and memory bandwidth. |
Gaurav Bhokare; Eisen Montalvo; Elie Diaz; Cem Yuksel; |
| 62 | Modeling Hair Strands with Roving Capsules Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hair strands can be modeled by sweeping spheres with varying radii along B\'{e}zier curves. We ray-trace such shapes by finding intersections of a given ray with a set of capsules dynamically defined at runtime. |
Alexander Reshetov; David Hart; |
| 63 | Real-time Neural Woven Fabric Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a lightweight neural network to represent different types of woven fabrics at different scales. |
Xiang Chen; Lu Wang; Beibei Wang; |
| 64 | Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Mob-FGSR, a novel lightweight supersampling framework tailored for mobile devices that integrates frame generation with super resolution to effectively improve real-time rendering performance. |
Sipeng Yang; Qingchuan Zhu; Junhao Zhuge; Qiang Qiu; Chen Li; Yuzhong Yan; Huihui Xu; Ling-Qi Yan; Xiaogang Jin; |
| 65 | Deep Fourier-based Arbitrary-scale Super-resolution for Real-time Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, most of prior works designed for rendering contents face a common limitation: once a model is trained, it can only afford a single fixed scale. In this paper, we attempt to eliminate this limitation by supporting arbitrary-scale super-resolution for a trained neural model. |
Haonan Zhang; Jie Guo; Jiawei Zhang; Haoyu Qin; Zesen Feng; Ming Yang; Yanwen Guo; |
| 66 | LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce LGTM, a novel Local-to-Global pipeline for Text-to-Motion generation. |
Haowen Sun; Ruikun Zheng; Haibin Huang; Chongyang Ma; Hui Huang; Ruizhen Hu; |
| 67 | Taming Diffusion Probabilistic Models for Character Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel character control framework that effectively utilizes motion diffusion probabilistic models to generate high-quality and diverse character animations, responding in real-time to a variety of dynamic user-supplied control signals. |
Rui Chen; Mingyi Shi; Shaoli Huang; Ping Tan; Taku Komura; Xuelin Chen; |
| 68 | TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to adapt the gradual diffusion concept (operating along a diffusion time-axis) into the temporal-axis of the motion sequence. |
Zihan Zhang; Richard Liu; Rana Hanocka; Kfir Aberman; |
| 69 | Flexible Motion In-betweening with Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike previous inbetweening methods, we propose a simple unified model capable of generating precise and diverse motions that conform to a flexible range of user-specified spatial constraints, as well as text conditioning. |
Setareh Cohan; Guy Tevet; Daniele Reda; Xue Bin Peng; Michiel van de Panne; |
| 70 | WalkTheDog: Cross-Morphology Motion Alignment Via Phase Manifolds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new approach for understanding the periodicity structure and semantics of motion datasets, independently of the morphology and skeletal structure of characters. |
Peizhuo Li; Sebastian Starke; Yuting Ye; Olga Sorkine-Hornung; |
| 71 | Iterative Motion Editing with Natural Language Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a method for using natural language to iteratively specify local edits to existing character animations, a task that is common in most computer animation workflows. |
Purvi Goel; Kuan-Chieh Wang; C. Karen Liu; Kayvon Fatahalian; |
| 72 | Quad-Optimized Low-Discrepancy Sequences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We base our contribution on a base-3 Sobol’ construction, involving a search over irreducible polynomials and generator matrices, that produce (1, 4)-sequences or (2,4)-sequences in all consecutive quadruplets of dimensions, and (0, 2)-sequence in all consecutive pairs of dimensions. |
Victor Ostromoukhov; Nicolas Bonneel; David Coeurjolly; Jean-Claude Iehl; |
| 73 | DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel method for exerting fine-grained lighting control during text-driven diffusion-based image generation. |
Chong Zeng; Yue Dong; Pieter Peers; Youkang Kong; Hongzhi Wu; Xin Tong; |
| 74 | IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show that a large-scale text-to-image generation model trained on a massive amount of visual data can implicitly learn intrinsic image priors. |
Jundan Luo; Duygu Ceylan; Jae Shin Yoon; Nanxuan Zhao; Julien Philip; Anna Fr\{u}hst\{u}ck; Wenbin Li; Christian Richardt; Tuanfeng Wang; |
| 75 | RGB↔X: Image Decomposition and Synthesis Using Material- and Lighting-aware Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our X → RGB model explores a middle ground between traditional rendering and generative models: We can specify only certain appearance properties that should be followed, and give freedom to the model to hallucinate a plausible version of the rest. |
Zheng Zeng; Valentin Deschaintre; Iliyan Georgiev; Yannick Hold-Geoffroy; Yiwei Hu; Fujun Luan; Ling-Qi Yan; Milo\v{s} Ha\v{s}an; |
| 76 | Matting By Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces an innovative approach for image matting that redefines the traditional regression-based task as a generative modeling challenge. |
Zhixiang Wang; Baiang Li; Jian Wang; Yu-Lun Liu; Jinwei Gu; Yung-Yu Chuang; Shin’Ichi Satoh; |
| 77 | Dragon’s Path: Synthesizing User-Centered Flying Creature Animation Paths for Outdoor Augmented Reality Experiences Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel approach to automatically generate user-centered flying creature animation paths for outdoor augmented reality experiences. |
Minyoung Kim; Rawan Alghofaili; Changyang Li; Lap-Fai Yu; |
| 78 | VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our proposed VR-GS system represents a leap forward in human-centered 3D content interaction, offering a seamless and intuitive user experience. |
Ying Jiang; Chang Yu; Tianyi Xie; Xuan Li; Yutao Feng; Huamin Wang; Minchen Li; Henry Lau; Feng Gao; Yin Yang; Chenfanfu Jiang; |
| 79 | Temporal Acoustic Point Holography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we develop a wide range of temporal phase retrieval algorithms that suppress phase change and trade off computational time and solution optimality. |
Giorgos Christopoulos; Lei Gao; Diego Martinez Plasencia; Marta Betcke; Ryuji Hirayama; Sriram Subramanian; |
| 80 | Neural-Assisted Homogenization of Yarn-Level Cloth Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a neural-assisted homogenized constitutive model for simulating yarn-level cloth. |
Xudong Feng; Huamin Wang; Yin Yang; Weiwei Xu; |
| 81 | ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present ContourCraft, a learning-based solution for handling intersections in neural cloth simulations. |
Artur Grigorev; Giorgio Becherini; Michael Black; Otmar Hilliges; Bernhard Thomaszewski; |
| 82 | DAE-Net: Deforming Auto-Encoder for Fine-grained Shape Co-segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an unsupervised 3D shape co-segmentation method which learns a set of deformable part templates from a shape collection. |
Zhiqin Chen; Qimin Chen; Hang Zhou; Hao Zhang; |
| 83 | ST-4DGS: Spatial-Temporally Consistent 4D Gaussian Splatting for Efficient Dynamic Scene Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel spatial-temporally 4D Gaussian Splatting, i.e., ST-4DGS, which aims at the spatial-temporally persistent dynamic rendering quality and maintains real-time rendering efficiency. |
Deqi Li; Shi-Sheng Huang; Zhiyuan Lu; Xinran Duan; Hua Huang; |
| 84 | GaussianPrediction: Dynamic 3D Gaussian Prediction for Motion Extrapolation and Free View Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce GaussianPrediction, a novel framework that empowers 3D Gaussian representations with dynamic scene modeling and future scenario synthesis in dynamic environments. |
Boming Zhao; Yuan Li; Ziyu Sun; Lin Zeng; Yujun Shen; Rui Ma; Yinda Zhang; Hujun Bao; Zhaopeng Cui; |
| 85 | Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on learning a fast representation for dynamic radiance fields with sparse input viewpoints. |
Nagabhushan Somraj; Kapil Choudhary; Sai Harsha Mupparaju; Rajiv Soundararajan; |
| 86 | Modeling Ambient Scene Dynamics for Free-view Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel method for dynamic free-view synthesis of an ambient scenes from a monocular capture bringing a immersive quality to the viewing experience. |
Meng-Li Shih; Jia-Bin Huang; Changil Kim; Rajvi Shah; Johannes Kopf; Chen Gao; |
| 87 | 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce 4D Gaussian Splatting (4DRotorGS), a novel method that represents dynamic scenes with anisotropic 4D XYZT Gaussians, inspired by the success of 3D Gaussian Splatting in static scenes [Kerbl et al. 2023]. |
Yuanxing Duan; Fangyin Wei; Qiyu Dai; Yuhang He; Wenzheng Chen; Baoquan Chen; |
| 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; |
| 89 | A Realistic Multi-scale Surface-based Cloth Appearance Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim at eliminating the trade-off with a realistic multi-scale surface-based cloth appearance model. |
Junqiu Zhu; Christophe Hery; Lukas Bode; Carlos Aliaga; Adrian Jarabo; Ling-Qi Yan; Matt Jen-Yuan Chiang; |
| 90 | Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we identify the pitfalls of the popular eigenvalue clamping strategy for projecting Hessian matrices to positive semi-definiteness during Newton’s method. |
Honglin Chen; Hsueh-Ti Derek Liu; David I.W. Levin; Changxi Zheng; Alec Jacobson; |
| 91 | Efficient Position-Based Deformable Colon Modeling for Endoscopic Procedures Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Traditional algorithms fail to represent the complexities of long, slender, deformable tools like endoscopes and hollow organs, such as the human colon, and their interaction. In this paper, we address longstanding challenges hindering the realism of surgery simulators, explicitly focusing on these structures. |
Marcelo Martins; Lucas Morais; Rafael Torchelsen; Luciana Nedel; Anderson Maciel; |
| 92 | GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce GEM3D 1 – a new deep, topology-aware generative model of 3D shapes. |
Dmitry Petrov; Pradyumn Goyal; Vikas Thamizharasan; Vladimir Kim; Matheus Gadelha; Melinos Averkiou; Siddhartha Chaudhuri; Evangelos Kalogerakis; |
| 93 | Practical Error Estimation for Denoised Monte Carlo Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a practical global error estimation technique for Monte Carlo ray tracing combined with deep learning based denoising. |
Arthur Firmino; Ravi Ramamoorthi; Jeppe Revall Frisvad; Henrik Wann Jensen; |
| 94 | Versatile Vision Foundation Model for Image and Video Colorization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we show how a latent diffusion model, pre-trained on text-to-image synthesis, can be finetuned for image colorization and provide a flexible solution for a wide variety of scenarios: high quality direct colorization with diverse results, user guided colorization through colors hints, text prompts or reference image and finally video colorization. |
Vukasin Bozic; Abdelaziz Djelouah; Yang Zhang; Radu Timofte; Markus Gross; Christopher Schroers; |
| 95 | Primal-Dual Non-Smooth Friction for Rigid Body Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current numerical algorithms for simulating friction fall in one of two camps: smooth solvers sacrifice the stable treatment of static friction in exchange for fast convergence, and non-smooth solvers accurately compute friction at convergence rates that are often prohibitive for large graphics applications. We introduce a novel bridge between these two ideas that computes static and dynamic friction stably and efficiently. |
Yi-Lu Chen; Micka\{e}l Ly; Chris Wojtan; |
| 96 | Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Jacobi preconditioned nonlinear conjugate gradient method for elastic deformation using interior-point methods. |
Xing Shen; Runyuan Cai; Mengxiao Bi; Tangjie Lv; |
| 97 | A Dynamic Duo of Finite Elements and Material Points Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel method to couple Finite Element Methods (FEM), typically employed for modeling Lagrangian solids such as flesh, cloth, hair, and rigid bodies, with Material Point Methods (MPM), which are well-suited for simulating materials undergoing substantial deformation and topology change, including Newtonian/non-Newtonian fluid, granular materials, and fracturing materials. |
Xuan Li; Minchen Li; Xuchen Han; Huamin Wang; Yin Yang; Chenfanfu Jiang; |
| 98 | Neural Bounding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study the use of neural networks as bounding volumes. |
Stephanie Wenxin Liu; Michael Fischer; Paul D. Yoo; Tobias Ritschel; |
| 99 | N-BVH: Neural Ray Queries with Bounding Volume Hierarchies Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, the main challenge lies in finding good trade-offs between efficient compression and cheap inference while minimizing training time. In the context of rendering, we adopt a ray-centric approach to this problem and devise <Formula format=inline><TexMath><? |
Philippe Weier; Alexander Rath; \'{E}lie Michel; Iliyan Georgiev; Philipp Slusallek; Tamy Boubekeur; |
| 100 | ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show how to encode multiple shapes represented as continuous neural fields with a higher degree of precision than previously possible and with low memory usage. |
Sergey Zakharov; Katherine Liu; Adrien Gaidon; Rares Ambrus; |
| 101 | Filter-Guided Diffusion for Controllable Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Filter-Guided Diffusion (FGD), an alternative approach that leverages fast filtering operations during the diffusion process to support finer control over the strength and frequencies of guidance and can work with non-deterministic samplers to produce greater variety. |
Zeqi Gu; Ethan Yang; Abe Davis; |
| 102 | LOOSECONTROL: Lifting ControlNet for Generalized Depth Conditioning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present LooseControl to allow generalized depth conditioning for diffusion-based image generation. |
Shariq Farooq Bhat; Niloy Mitra; Peter Wonka; |
| 103 | Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we first show the fundamental reasons for such misalignment by identifying issues related to low attention activation and mask overlaps. Then we propose a compositional finetuning framework with two novel objectives, the Separate loss and the Enhance loss, that reduce object mask overlaps and maximize attention scores, respectively. |
Zhipeng Bao; Yijun Li; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert; |
| 104 | Object-level Scene Deocclusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new self-supervised PArallel visible-to-COmplete diffusion framework, named PACO, a foundation model for object-level scene deocclusion. |
Zhengzhe Liu; Qing Liu; Chirui Chang; Jianming Zhang; Daniil Pakhomov; Haitian Zheng; Zhe Lin; Daniel Cohen-Or; Chi-Wing Fu; |
| 105 | Text-Guided Synthesis of Crowd Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a machine learning approach to synthesize diversified dynamic crowd animation scenarios for a given environment based on a text description input. |
Xuebo Ji; Zherong Pan; Xifeng Gao; Jia Pan; |
| 106 | Soft Pneumatic Actuator Design Using Differentiable Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a computational design pipeline for pneumatically-actuated soft robots interacting with their environment through contact. |
Arvi Gjoka; Espen Knoop; Moritz B\{a}cher; Denis Zorin; Daniele Panozzo; |
| 107 | SMEAR: Stylized Motion Exaggeration with ARt-direction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Smear frames are routinely used by artists for the expressive depiction of motion in animations. In this paper, we present an automatic, yet art-directable method for the generation of smear frames in 3D, with a focus on elongated in-betweens where an object is stretched along its trajectory. |
Jean Basset; Pierre B\'{e}nard; Pascal Barla; |
| 108 | Semantic Shape Editing with Parametric Implicit Templates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a semantic shape editing method to edit 3D triangle meshes using parametric implicit surface templates, benefiting from the many advantages offered by analytical implicit representations, such as infinite resolution and boolean or blending operations. |
Uday Kusupati; Mathieu Gaillard; Jean-Marc Thiery; Adrien Kaiser; |
| 109 | A Unified Differentiable Boolean Operator with Fuzzy Logic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a unified differentiable boolean operator for implicit solid shape modeling using Constructive Solid Geometry (CSG). |
Hsueh-Ti Derek Liu; Maneesh Agrawala; Cem Yuksel; Tim Omernick; Vinith Misra; Stefano Corazza; Morgan Mcguire; Victor Zordan; |
| 110 | CNS-Edit: 3D Shape Editing Via Coupled Neural Shape Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a new approach based on a coupled representation and a neural volume optimization to implicitly perform 3D shape editing in latent space. |
Jingyu Hu; Ka-Hei Hui; Zhengzhe Liu; Hao Zhang; Chi-Wing Fu; |
| 111 | Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Motion-I2V, a novel framework for consistent and controllable text-guided image-to-video generation (I2V). |
Xiaoyu Shi; Zhaoyang Huang; Fu-Yun Wang; Weikang Bian; Dasong Li; Yi Zhang; Manyuan Zhang; Ka Chun Cheung; Simon See; Hongwei Qin; Jifeng Dai; Hongsheng Li; |
| 112 | I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the former approach often necessitates altering the fundamental weights of pretrained T2V models, thus restricting the model�s compatibility within the open-source communities and disrupting the model�s prior knowledge. Meanwhile, the latter typically fails to preserve the identity of the input image. We present I2V-Adapter to overcome such limitations. |
Xun Guo; Mingwu Zheng; Liang Hou; Yuan Gao; Yufan Deng; Pengfei Wan; Di Zhang; Yufan Liu; Weiming Hu; Zhengjun Zha; Haibin Huang; Chongyang Ma; |
| 113 | Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce Direct-a-Video, a system that allows users to independently specify motions for multiple objects as well as camera’s pan and zoom movements, as if directing a video. |
Shiyuan Yang; Liang Hou; Haibin Huang; Chongyang Ma; Pengfei Wan; Di Zhang; Xiaodong Chen; Jing Liao; |
| 114 | MotionCtrl: A Unified and Flexible Motion Controller for Video Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing works either mainly focus on one type of motion or do not clearly distinguish between the two, limiting their control capabilities and diversity. Therefore, this paper presents MotionCtrl, a unified and flexible motion controller for video generation designed to effectively and independently control camera and object motion. |
Zhouxia Wang; Ziyang Yuan; Xintao Wang; Yaowei Li; Tianshui Chen; Menghan Xia; Ping Luo; Ying Shan; |
| 115 | X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose X-Portrait, an innovative conditional diffusion model tailored for generating expressive and temporally coherent portrait animation. |
You Xie; Hongyi Xu; Guoxian Song; Chao Wang; Yichun Shi; Linjie Luo; |
| 116 | Tele-Aloha: A Telepresence System with Low-budget and High-authenticity Using Sparse RGB Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a low-budget and high-authenticity bidirectional telepresence system, Tele-Aloha, targeting peer-to-peer communication scenarios. |
Hanzhang Tu; Ruizhi Shao; Xue Dong; Shunyuan Zheng; Hao Zhang; Lili Chen; Meili Wang; Wenyu Li; Siyan Ma; Shengping Zhang; Boyao Zhou; Yebin Liu; |
| 117 | Aperture-Aware Lens Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a method for calculating the gradients of optical systems with respect to both focus and light throughput. |
Arjun Teh; Ioannis Gkioulekas; Matthew O’Toole; |
| 118 | Scale-Invariant Monocular Depth Estimation Via SSI Depth Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach that leverages SSI inputs to enhance SI depth estimation, streamlining the network’s role and facilitating in-the-wild generalization for SI depth estimation while only using a synthetic dataset for training. |
S. Mahdi H. Miangoleh; Mahesh Reddy; Ya\u{g}\i{}z Aksoy; |
| 119 | Deep Hybrid Camera Deblurring for Smartphone Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, achieving practical performance still remains a challenge. To address this, we propose a learning-based deblurring framework for smartphones, utilizing wide and ultra-wide cameras as a hybrid camera system. |
Jaesung Rim; Junyong Lee; Heemin Yang; Sunghyun Cho; |
| 120 | Self-Supervised Video Defocus Deblurring with Atlas Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an end-to-end solution that allows users to correct misfocus during post-processing. |
Lingyan Ruan; Martin B\'{a}lint; Mojtaba Bemana; Krzysztof Wolski; Hans-Peter Seidel; Karol Myszkowski; Bin Chen; |
| 121 | SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Meanwhile, kinematic animation models are able to successfully learn from thousands of diverse motions by leveraging supervised learning methods. Inspired by these successes, in this work we introduce SuperPADL, a scalable framework for physics-based text-to-motion that leverages both RL and supervised learning to train controllers on thousands of diverse motion clips. |
Jordan Juravsky; Yunrong Guo; Sanja Fidler; Xue Bin Peng; |
| 122 | Strategy and Skill Learning for Physics-based Table Tennis Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a strategy and skill learning approach for physics-based table tennis animation. |
Jiashun Wang; Jessica Hodgins; Jungdam Won; |
| 123 | Recompose Grammars for Procedural Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the novel grammar language Recomp for the procedural modeling of architecture. |
Niklaus Houska; Cheryl Lau; Matthias Specht; |
| 124 | A Construct-Optimize Approach to Sparse View Synthesis Without Camera Pose Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we leverage the recent 3D Gaussian splatting method to develop a novel construct-and-optimize method for sparse view synthesis without camera poses. |
Kaiwen Jiang; Yang Fu; Mukund Varma T; Yash Belhe; Xiaolong Wang; Hao Su; Ravi Ramamoorthi; |
| 125 | Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a Ripmap-Encoded Platonic Solid representation to precisely and efficiently featurize 3D anisotropic areas, achieving high-fidelity anti-aliased renderings. |
Junchen Liu; Wenbo Hu; Zhuo Yang; Jianteng Chen; Guoliang Wang; Xiaoxue Chen; Yantong Cai; Huan-ang Gao; Hao Zhao; |
| 126 | N-Dimensional Gaussians for Fitting of High Dimensional Functions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, their scaling to higher dimensions is challenging, e.g. when accounting for dynamic content with respect to additional parameters such as material properties, illumination, or time. In this paper, we tackle these challenges for an explicit representations based on Gaussian mixture models. |
Stavros Diolatzis; Tobias Zirr; Alexander Kuznetsov; Georgios Kopanas; Anton Kaplanyan; |
| 127 | AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our work develops a physics-based multimodal acoustic-optical neural surface reconstruction framework (AONeuS) capable of effectively integrating high-resolution RGB measurements with low-resolution depth-resolved imaging sonar measurements. |
Mohamad Qadri; Kevin Zhang; Akshay Hinduja; Michael Kaess; Adithya Pediredla; Christopher A Metzler; |
| 128 | DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose DiffSound, a differentiable sound rendering framework for physics-based modal sound synthesis, which is based on an implicit shape representation, a new high-order finite element analysis module, and a differentiable audio synthesizer. |
Xutong Jin; Chenxi Xu; Ruohan Gao; Jiajun Wu; Guoping Wang; Sheng Li; |
| 129 | Accelerating Saccadic Response Through Spatial and Temporal Cross-Modal Misalignments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Typically, our perception is not limited to visual stimuli alone but is enriched by cross-modal interactions, such as the combination of sight and hearing. In this work, we investigate the temporal and spatial relationship of these interactions, focusing on how auditory cues that precede visual stimuli influence saccadic latency –the time that it takes for the eyes to react and start moving towards a visual target. |
Daniel Jim\'{e}nez Navarro; Xi Peng; Yunxiang Zhang; Karol Myszkowski; Hans-Peter Seidel; Qi Sun; Ana Serrano; |
| 130 | Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Radar Fields –- a neural scene reconstruction method designed for active radar imagers. |
David Borts; Erich Liang; Tim Broedermann; Andrea Ramazzina; Stefanie Walz; Edoardo Palladin; Jipeng Sun; David Brueggemann; Christos Sakaridis; Luc Van Gool; Mario Bijelic; Felix Heide; |
| 131 | Diffusion Illusions: Hiding Images in Plain Sight Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the problem of computationally generating special images that produce multi-arrangement optical illusions when physically arranged and viewed in a certain way, which we call ‘prime’ images. |
Ryan Burgert; Xiang Li; Abe Leite; Kanchana Ranasinghe; Michael Ryoo; |
| 132 | Cross-Image Attention for Zero-Shot Appearance Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent advancements in text-to-image generative models have demonstrated a remarkable ability to capture a deep semantic understanding of images. In this work, we leverage this semantic knowledge to transfer the visual appearance between objects that share similar semantics but may differ significantly in shape. |
Yuval Alaluf; Daniel Garibi; Or Patashnik; Hadar Averbuch-Elor; Daniel Cohen-Or; |
| 133 | Generative Escher Meshes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a fully-automatic, text-guided generative method for producing perfectly-repeating, periodic, tile-able 2D imagery, such as the one seen on floors, mosaics, ceramics, and the work of M.C. Escher. |
Noam Aigerman; Thibault Groueix; |
| 134 | Fabricable 3D Wire Art Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a computational method for automatically creating fabricable 3D wire sculptures from various input modalities, including 3D models, images, and even text. |
Kenji Tojo; Ariel Shamir; Bernd Bickel; Nobuyuki Umetani; |
| 135 | Text-to-Vector Generation with Neural Path Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing T2V methods directly optimize control points of vector graphics paths, often resulting in intersecting or jagged paths due to the lack of geometry constraints. To overcome these limitations, we propose a novel neural path representation by designing a dual-branch Variational Autoencoder (VAE) that learns the path latent space from both sequence and image modalities. |
Peiying Zhang; Nanxuan Zhao; Jing Liao; |
| 136 | Deep Sketch Vectorization Via Implicit Surface Extraction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce an algorithm for sketch vectorization with state-of-the-art accuracy and capable of handling complex sketches. |
Chuan Yan; Yong Li; Deepali Aneja; Matthew Fisher; Edgar Simo-Serra; Yotam Gingold; |
| 137 | Robust Containment Queries Over Collections of Rational Parametric Curves Via Generalized Winding Numbers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our algorithm is numerically stable for points that are arbitrarily close to the model, and explicitly treats points that are coincident with curves. We demonstrate the improvements in computational performance granted by this method over conventional techniques as well as the robustness induced by its application. |
Jacob Spainhour; David Gunderman; Kenneth Weiss; |
| 138 | DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce DreamMat, an innovative approach to resolve the aforementioned problem, to generate high-quality PBR materials from text descriptions. |
Yuqing Zhang; Yuan Liu; Zhiyu Xie; Lei Yang; Zhongyuan Liu; Mengzhou Yang; Runze Zhang; Qilong Kou; Cheng Lin; Wenping Wang; Xiaogang Jin; |
| 139 | EASI-Tex: Edge-Aware Mesh Texturing from Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach for single-image mesh texturing, which employs a diffusion model with judicious conditioning to seamlessly transfer an object’s texture from a single RGB image to a given 3D mesh object. |
Sai Raj Kishore Perla; Yizhi Wang; Ali Mahdavi-Amiri; Hao Zhang; |
| 140 | Walkin’ Robin: Walk on Stars with Robin Boundary Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Numerous scientific and engineering applications require solutions to boundary value problems (BVPs) involving elliptic partial differential equations, such as the Laplace or Poisson equations, on geometrically intricate domains. We develop a Monte Carlo method for solving such BVPs with arbitrary first-order linear boundary conditions—Dirichlet, Neumann, and Robin. |
Bailey Miller; Rohan Sawhney; Keenan Crane; Ioannis Gkioulekas; |
| 141 | Stochastic Computation of Barycentric Coordinates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a practical and general approach for computing barycentric coordinates through stochastic sampling. |
Fernando de Goes; Mathieu Desbrun; |
| 142 | BlockFusion: Expandable 3D Scene Generation Using Latent Tri-plane Extrapolation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present BlockFusion, a diffusion-based model that generates 3D scenes as unit blocks and seamlessly incorporates new blocks to extend the scene. |
Zhennan Wu; Yang Li; Han Yan; Taizhang Shang; Weixuan Sun; Senbo Wang; Ruikai Cui; Weizhe Liu; Hiroyuki Sato; Hongdong Li; Pan Ji; |
| 143 | SketchDream: Sketch-based Text-To-3D Generation and Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it is difficult to achieve high generation quality, preserve unedited regions, and manage proper interactions between shape components. To solve the above issues, we propose a text-driven 3D content generation and editing method, SketchDream, which supports NeRF generation from given hand-drawn sketches and achieves free-view sketch-based local editing. |
Feng-Lin Liu; Hongbo Fu; Yu-Kun Lai; Lin Gao; |
| 144 | Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Portrait3D, a novel neural rendering-based framework with a novel joint geometry-appearance prior to achieve text-to-3D-portrait generation that overcomes the aforementioned issues. |
Yiqian Wu; Hao Xu; Xiangjun Tang; Xien Chen; Siyu Tang; Zhebin Zhang; Chen Li; Xiaogang Jin; |
| 145 | DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation Via Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose DiffPoseTalk, a generative framework based on the diffusion model combined with a style encoder that extracts style embeddings from short reference videos. |
Zhiyao Sun; Tian Lv; Sheng Ye; Matthieu Lin; Jenny Sheng; Yu-Hui Wen; Minjing Yu; Yong-Jin Liu; |
| 146 | S3: Speech, Script and Scene Driven Head and Eye Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present S3, a novel approach to generating expressive, animator-centric 3D head and eye animation of characters in conversation. |
Yifang Pan; Rishabh Agrawal; Karan Singh; |
| 147 | Conditional Mixture Path Guiding for Differentiable Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To embody our theory, we implement a conditional mixture path guiding that explicitly computes optimal weights on the fly. |
Zhimin Fan; Pengcheng Shi; Mufan Guo; Ruoyu Fu; Yanwen Guo; Jie Guo; |
| 148 | ZeroGrads: Learning Local Surrogates for Non-Differentiable Graphics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast to other derivative-free algorithms, our approach scales well to higher dimensions, which we demonstrate on problems with up to 35k interlinked variables. |
Michael Fischer; Tobias Ritschel; |
| 149 | NeuralTO: Neural Reconstruction and View Synthesis of Translucent Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods struggle to reconstruct accurate geometry when applied to translucent objects due to the non-negligible bias in their rendering function. To address the inaccuracies in the existing model, we have reparameterized the density function of the neural radiance field by incorporating an estimated constant extinction coefficient. |
Yuxiang Cai; Jiaxiong Qiu; Zhong Li; Bo Ren; |
| 150 | NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces By Enforcing Zero Gaussian Curvature Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite recent advances in reconstructing an organic model with the neural signed distance function (SDF), the high-fidelity reconstruction of a CAD model directly from low-quality unoriented point clouds remains a significant challenge. In this paper, we address this challenge based on the prior observation that the surface of a CAD model is generally composed of piecewise surface patches, each approximately developable even around the feature line. |
Qiujie Dong; Rui Xu; Pengfei Wang; Shuangmin Chen; Shiqing Xin; Xiaohong Jia; Wenping Wang; Changhe Tu; |
| 151 | Training-Free Consistent Text-to-Image Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we present ConsiStory, a training-free approach that enables consistent subject generation by sharing the internal activations of the pretrained model. |
Yoad Tewel; Omri Kaduri; Rinon Gal; Yoni Kasten; Lior Wolf; Gal Chechik; Yuval Atzmon; |
| 152 | A Vortex Particle-on-Mesh Method for Soap Film Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel physically-based vortex fluid model for films, aimed at accurately simulating cascading vortical structures on deforming thin films. |
Ningxiao Tao; Liangwang Ruan; Yitong Deng; Bo Zhu; Bin Wang; Baoquan Chen; |
| 153 | Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a multi-material non-manifold mesh-based surface tracking algorithm that converts self-intersections into topological changes. |
Peter Heiss-Synak; Aleksei Kalinov; Malina Strugaru; Arian Etemadi; Huidong Yang; Chris Wojtan; |
| 154 | Kinetic Simulation of Turbulent Multifluid Flows Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a full LBM solver for multifluid simulation. |
Wei Li; Kui Wu; Mathieu Desbrun; |
| 155 | An Induce-on-Boundary Magnetostatic Solver for Grid-Based Ferrofluids Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel Induce-on-Boundary (IoB) solver designed to address the magnetostatic governing equations of ferrofluids. |
Xingyu Ni; Ruicheng Wang; Bin Wang; Baoquan Chen; |
| 156 | Going with The Flow Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given a sequence of poses of a body we study the motion resulting when the body is immersed in a (possibly) moving, incompressible medium. |
Yousuf Soliman; Marcel Padilla; Oliver Gross; Felix Kn\{o}ppel; Ulrich Pinkall; Peter Schr\{o}der; |
| 157 | Efficient Debris-flow Simulation for Steep Terrain Erosion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new method to capture the interactions between debris flow and fluvial erosion thanks to a new mathematical formulation for debris flow erosion derived from geomorphology and a unified GPU algorithm for erosion and deposition. |
Aryamaan Jain; Bedrich Benes; Guillaume Cordonnier; |
| 158 | Smooth Bijective Projection in A High-order Shell Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new structure called a higher-order shell, which is composed of a set of triangular prisms. |
Shibo Liu; Yang Ji; Jia-Peng Guo; Ligang Liu; Xiao-Ming Fu; |
| 159 | Lifting Directional Fields to Minimal Sections Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As curvature frustrates finite element discretization of the bundle, we devise a hybrid spectral method for representing and optimizing minimal sections. |
David Palmer; Albert Chern; Justin Solomon; |
| 160 | Seamless Parametrization in Penner Coordinates Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a conceptually simple and efficient algorithm for seamless parametrization, a key element in constructing quad layouts and texture charts on surfaces. |
Ryan Capouellez; Denis Zorin; |
| 161 | A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a divide-and-conquer approach that allows us to train very large scenes in independent chunks. |
Bernhard Kerbl; Andreas Meuleman; Georgios Kopanas; Michael Wimmer; Alexandre Lanvin; George Drettakis; |
| 162 | SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce SMERF, a view synthesis approach that achieves state-of-the-art accuracy among real-time methods on large scenes with footprints up to 300 m2 at a volumetric resolution of 3.5 mm3. |
Daniel Duckworth; Peter Hedman; Christian Reiser; Peter Zhizhin; Jean-Fran\c{c}ois Thibert; Mario Lu\v{c}i\'{c}; Richard Szeliski; Jonathan T. Barron; |
| 163 | StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel hierarchical rasterization approach that systematically resorts and culls splats with minimal processing overhead. |
Lukas Radl; Michael Steiner; Mathias Parger; Alexander Weinrauch; Bernhard Kerbl; Markus Steinberger; |
| 164 | Towards Motion Metamers for Foveated Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we diverge from the contemporary approach towards the goal of foveated graphics, and demonstrate that a loss of high-frequency spatial details in the periphery inhibits motion perception, leading to underestimating motion cues such as velocity. |
Taimoor Tariq; Piotr Didyk; |
| 165 | Cybersickness Reduction Via Gaze-Contingent Image Deformation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new technique for reducing vection and combating cybersickness by subtly lowering the screen-space speed of objects in the user’s peripheral vision. |
Colin Groth; Marcus Magnor; Steve Grogorick; Martin Eisemann; Piotr Didyk; |
| 166 | PEA-PODs: Perceptual Evaluation of Algorithms for Power Optimization in XR Displays Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We set out to answer this question.To this end, we present a perceptual evaluation of algorithms (PEA) for power optimization in XR displays (PODs). |
Kenneth Chen; Thomas Wan; Nathan Matsuda; Ajit Ninan; Alexandre Chapiro; Qi Sun; |
| 167 | Holographic Parallax Improves 3D Perceptual Realism Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we build a perceptual testbed of a full-color, high-quality holographic near-eye display. |
Dongyeon Kim; Seung-Woo Nam; Suyeon Choi; Jong-Mo Seo; Gordon Wetzstein; Yoonchan Jeong; |
| 168 | Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While abstract models lack predictive capabilities at the cellular level, explicit network representations struggle with topology changes, and per-cell representations are computationally too demanding for large-scale simulations. To address these challenges, we propose a novel cell-centered approach based on differentiable Voronoi diagrams. |
Logan Numerow; Yue Li; Stelian Coros; Bernhard Thomaszewski; |
| 169 | Scintilla: Simulating Combustible Vegetation for Wildfires Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach for simulating the dynamic interaction between the varying components of a wildfire, including processes of convection, combustion and heat transfer between vegetation, soil and atmosphere. |
Andrzej Kokosza; Helge Wrede; Daniel Gonzalez Esparza; Milosz Makowski; Daoming Liu; Dominik L. Michels; Soren Pirk; Wojtek Palubicki; |
| 170 | Cyclogenesis: Simulating Hurricanes and Tornadoes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a physically-based approach to describe the 3D development of cyclones in a visually convincing and physically plausible manner. |
Jorge Alejandro Amador Herrera; Jonathan Klein; Daoming Liu; Wojtek Pa\l{}ubicki; S\{o}ren Pirk; Dominik L. Michels; |
| 171 | DressCode: Autoregressively Sewing and Generating Garments from Text Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a text-driven 3D garment generation framework, DressCode, which aims to democratize design for novices and offer immense potential in fashion design, virtual try-on, and digital human creation. |
Kai He; Kaixin Yao; Qixuan Zhang; Jingyi Yu; Lingjie Liu; Lan Xu; |
| 172 | Proxy Asset Generation for Cloth Simulation in Games Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an automatic pipeline to convert an ill-conditioned highresolution visual mesh into a single-layer low-poly proxy mesh. |
Zhongtian Zheng; Tongtong Wang; Qijia Feng; Zherong Pan; Xifeng Gao; Kui Wu; |
| 173 | Automatic Digital Garment Initialization from Sewing Patterns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: When given a sewing pattern with its associated sewing relationships, the primary challenge is to establish an initial arrangement of sewing pieces that is free from folding and intersections. This setup enables a physics-based simulator to seamlessly stitch them into a digital garment, avoiding undesirable local minima. To achieve this, we harness AI classification, heuristics, and numerical optimization. |
Chen Liu; Weiwei Xu; Yin Yang; Huamin Wang; |
| 174 | LightFormer: Light-Oriented Global Neural Rendering in Dynamic Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a neural rendering approach, dubbed LightFormer, that can generate realistic global illumination for fully dynamic scenes, including dynamic lighting, materials, cameras, and animated objects, in real time. |
Haocheng Ren; Yuchi Huo; Yifan Peng; Hongtao Sheng; Weidong Xue; Hongxiang Huang; Jingzhen Lan; Rui Wang; Hujun Bao; |
| 175 | Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel Particle Flow Map (PFM) method to enable accurate long-range advection for incompressible fluid simulation. |
Junwei Zhou; Duowen Chen; Molin Deng; Yitong Deng; Yuchen Sun; Sinan Wang; Shiying Xiong; Bo Zhu; |
| 176 | Lightning-fast Method of Fundamental Solutions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By leveraging connections with Gaussian Processes and exploiting the sparse structure of the inverses of boundary integral matrices, we introduce a variational preconditioner that can be computed via a sparse inverse-Cholesky factorization in a massively parallel manner. |
Jiong Chen; Florian Schaefer; Mathieu Desbrun; |
| 177 | Spin-It Faster: Quadrics Solve All Topology Optimization Problems That Depend Only On Mass Moments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This proves that optimal interfaces are always ellipsoids, hyperboloids, paraboloids, or one of a few degenerate cases, such as planes.This insight lets us replace a difficult topology optimization problem with a provably equivalent non-linear equation system in a small number (<10) of variables, which represent the coefficients of the quadric. This system can be solved in a few seconds for most examples, provides insights into the geometric structure of many specific applications, and lets us describe their solution properties. |
Christian Hafner; Micka\{e}l Ly; Chris Wojtan; |
| 178 | X-SLAM: Scalable Dense SLAM for Task-aware Optimization Using CSFD Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present X-SLAM, a real-time dense differentiable SLAM system that leverages the complex-step finite difference (CSFD) method for efficient calculation of numerical derivatives, bypassing the need for a large-scale computational graph. |
Zhexi Peng; Yin Yang; Tianjia Shao; Chenfanfu Jiang; Kun Zhou; |
| 179 | CWF: Consolidating Weak Features in High-quality Mesh Simplification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For example, the well-known Quadric Error Metrics (QEM) approach [Garland and Heckbert 1997] prioritizes accuracy and can preserve strong feature lines/points as well, but falls short in ensuring high triangle quality and may degrade weak features that are not as distinctive as strong ones. In this paper, we propose a smooth functional that simultaneously considers all of these requirements. |
Rui Xu; Longdu Liu; Ningna Wang; Shuangmin Chen; Shiqing Xin; Xiaohu Guo; Zichun Zhong; Taku Komura; Wenping Wang; Changhe Tu; |
| 180 | Alignment Conditions for NURBS-based Design of Mixed Tension-compression Grid Shells Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We report that the variable projection method originally used to solve the form-finding problem in the work of [Miki and Mitchell 2022] can be successfully extended to solve the newly introduced alignment conditions, and conclude with results for several practical design examples. |
Masaaki Miki; Toby Mitchell; |
| 181 | Adaptive Grid Generation for Discretizing Implicit Complexes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for generating a simplicial (e.g., triangular or tetrahedral) grid to enable adaptive discretization of implicit shapes defined by a vector function. |
Yiwen Ju; Xingyi Du; Qingnan Zhou; Nathan Carr; Tao Ju; |
| 182 | Spatial and Surface Correspondence Field for Interaction Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new method for the task of interaction transfer. |
Zeyu Huang; Honghao Xu; Haibin Huang; Chongyang Ma; Hui Huang; Ruizhen Hu; |
| 183 | CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present CharacterGen, a framework developed to efficiently generate 3D characters. |
Hao-Yang Peng; Jia-Peng Zhang; Meng-Hao Guo; Yan-Pei Cao; Shi-Min Hu; |
| 184 | Neural Slicer for Multi-Axis 3D Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. |
Tao Liu; Tianyu Zhang; Yongxue Chen; Yuming Huang; Charlie C. L. Wang; |
| 185 | FlexScale: Modeling and Characterization of Flexible Scaled Sheets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a computational approach for modeling the mechanical behavior of flexible scaled sheet materials—3D-printed hard scales embedded in a soft substrate. |
Juan Sebastian Montes Maestre; Yinwei Du; Ronan Hinchet; Stelian Coros; Bernhard Thomaszewski; |
| 186 | Computational Homogenization for Inverse Design of Surface-based Inflatables Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel parametrization of the underlying deformation space that allows accurate, efficient, and systematical analysis of the stretching and bending behavior of inflated patches with potentially open boundaries.We apply our homogenization algorithm to create a database of geometrically diverse fusing patterns spanning a wide range of material properties and deformation characteristics. |
Yingying Ren; Julian Panetta; Seiichi Suzuki; Uday Kusupati; Florin Isvoranu; Mark Pauly; |
| 187 | Solid Knitting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce solid knitting, a new fabrication technique that combines the layer-by-layer volumetric approach of 3D printing with the topologically-entwined stitch structure of knitting to produce solid 3D objects. |
Yuichi Hirose; Mark Gillespie; Angelica M. Bonilla Fominaya; James McCann; |
| 188 | Fabric Tessellation: Realizing Freeform Surfaces By Smocking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel method for realizing freeform surfaces with pieces of flat fabric, where curvature is created by stitching together points on the fabric using a technique known as smocking. |
Aviv Segall; Jing Ren; Amir Vaxman; Olga Sorkine-Hornung; |
| 189 | Audio Matters Too! Enhancing Markerless Motion Capture with Audio Signals for String Performance Capture Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we touch on the problem of markerless multi-modal human motion capture especially for string performance capture which involves inherently subtle hand-string contacts and intricate movements. |
Yitong Jin; Zhiping Qiu; Yi Shi; Shuangpeng Sun; Chongwu Wang; Donghao Pan; Jiachen Zhao; Zhenghao Liang; Yuan Wang; Xiaobing Li; Feng Yu; Tao Yu; Qionghai Dai; |
| 190 | Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel approach for intrinsic minimization of distance-based objectives defined on triangle meshes. |
Yue Li; Logan Numerow; Bernhard Thomaszewski; Stelian Coros; |
| 191 | A Heat Method for Generalized Signed Distance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a method for approximating the signed distance function (SDF) of geometry corrupted by holes, noise, or self-intersections. |
Nicole Feng; Keenan Crane; |
| 192 | Universal Facial Encoding of Codec Avatars from VR Headsets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a method that can animate a photorealistic avatar in realtime from head-mounted cameras (HMCs) on a consumer VR headset. |
Shaojie Bai; Te-Li Wang; Chenghui Li; Akshay Venkatesh; Tomas Simon; Chen Cao; Gabriel Schwartz; Jason Saragih; Yaser Sheikh; Shih-En Wei; |
| 193 | Learning A Generalized Physical Face Model From Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to make physics-based facial animation more accessible by proposing a generalized physical face model that we learn from a large 3D face dataset. |
Lingchen Yang; Gaspard Zoss; Prashanth Chandran; Markus Gross; Barbara Solenthaler; Eftychios Sifakis; Derek Bradley; |
| 194 | Real-time Physically Guided Hair Interpolation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We formulate our problem as a constraint satisfaction problem for which we present an efficient solution. |
Jerry Hsu; Tongtong Wang; Zherong Pan; Xifeng Gao; Cem Yuksel; Kui Wu; |
| 195 | Stylized Rendering As A Function of Expectation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a generalization of the rendering equation that captures both the realistic light transport of physically-based rendering (PBR) and a subset of non-photorealistic rendering (NPR) stylizations in a principled manner. |
Rex West; Sayan Mukherjee; |
| 196 | Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it remains difficult to sample by connecting vertices on specular and glossy surfaces with narrow-lobed BSDF, as it poses severe constraints on sampling in the feasible direction. To address this issue, we propose a novel approach, called proxy sampling, that enables efficient sub-path connection of these challenging paths. |
Fujia Su; Bingxuan Li; Qingyang Yin; Yanchen Zhang; Sheng Li; |
| 197 | Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This prevents efficient path reuse in and near pixels with high-frequency details.We introduce Area ReSTIR, extending ReSTIR reservoirs to also integrate each pixel’s 4D ray space, including 2D areas on the film and lens. We design novel subpixel-tracking temporal reuse and shift mappings that maximize resampling quality in such regions. |
Song Zhang; Daqi Lin; Markus Kettunen; Cem Yuksel; Chris Wyman; |
| 198 | Ray Tracing Harmonic Functions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a similar method for a completely different class of surfaces encoded by harmonic functions, opening up rich new possibilities for visual computing. |
Mark Gillespie; Denise Yang; Mario Botsch; Keenan Crane; |
| 199 | Transparent Image Layer Diffusion Using Latent Transparency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach enabling large-scale pretrained latent diffusion models to generate transparent images. |
Lvmin Zhang; Maneesh Agrawala; |
| 200 | 3D-Layers: Bringing Layer-Based Color Editing to VR Painting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to define 3D-Layers as groups of 3D strokes, and we distinguish the ones that represent 3D geometry from the ones that represent color modifications of the geometry. |
Emilie Yu; Fanny Chevalier; Karan Singh; Adrien Bousseau; |
| 201 | NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new hybrid model, NICER, which combines a torque-based approach with a new term derived from the empirical measurement of muscle contraction and a recovery factor to account for decreasing fatigue during rest. |
Yi Li; Benjamin Tag; Shaozhang Dai; Robert Crowther; Tim Dwyer; Pourang Irani; Barrett Ens; |
| 202 | Capacitive Touch Sensing on General 3D Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Its extension to a more complex shape is still challenging, as a uniform distribution of sensing electrodes is required for consistent touch sensitivity across the surface. To overcome this problem, we propose a method to adapt the sensor layout of common capacitive multi-touch sensors to more complex 3D surfaces, ensuring high-resolution, robust multi-touch detection. |
Gianpaolo Palma; Narges Pourjafarian; J\{u}rgen Steimle; Paolo Cignoni; |
| 203 | Progressive Dynamics for Cloth and Shell Animation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Progressive Dynamics, a coarse-to-fine, level-of-detail simulation method for the physics-based animation of complex frictionally contacting thin shell and cloth dynamics. |
Jiayi Eris Zhang; Doug James; Danny M. Kaufman; |
| 204 | Super-Resolution Cloth Animation with Spatial and Temporal Coherence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Creating super-resolution cloth animations, which refine coarse cloth meshes with fine wrinkle details, faces challenges in preserving spatial consistency and temporal coherence across frames. In this paper, we introduce a general framework to address these issues, leveraging two core modules. |
Jiawang Yu; Zhendong Wang; |
| 205 | DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from An RGB Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We thus propose DiffCAD, the first weakly-supervised probabilistic approach to CAD retrieval and alignment from an RGB image. |
Daoyi Gao; David Rozenberszki; Stefan Leutenegger; Angela Dai; |
| 206 | 3Doodle: Compact Abstraction of Objects with 3D Strokes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose 3Dooole, generating descriptive and view-consistent sketch images given multi-view images of the target object. |
Changwoon Choi; Jaeah Lee; Jaesik Park; Young Min Kim; |
| 207 | Split-and-Fit: Learning B-Reps Via Structure-Aware Voronoi Partitioning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel method for acquiring boundary representations (B-Reps) of 3D CAD models which involves a two-step process: it first applies a spatial partitioning, referred to as the split, followed by a fit operation to derive a single primitive within each partition. |
Yilin Liu; Jiale Chen; Shanshan Pan; Daniel Cohen-Or; Hao Zhang; Hui Huang; |
| 208 | Variational Feature Extraction in Scientific Visualization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we establish a mathematical language that not only encompasses commonly used feature definitions, it also provides a set of regularizers that can be applied across the bounds of individual application domains. |
Nico Da\ss{}ler; Tobias G\{u}nther; |
| 209 | Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Previous methods either oversimplify object shapes, which results in a sacrifice of feasible space or rely on discrete sampling, which suffers from the tunnel effect. To address these limitations, we propose a novel hierarchical trajectory generation pipeline, which utilizes the Swept Volume Signed Distance Field (SVSDF) to guide trajectory optimization for Continuous Collision Avoidance (CCA). |
Jingping Wang; Tingrui Zhang; Qixuan Zhang; Chuxiao Zeng; Jingyi Yu; Chao Xu; Lan Xu; Fei Gao; |
| 210 | A Fully-correlated Anisotropic Micrograin BSDF Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce an improved version of the micrograin BSDF model [Lucas et al. 2023] for the rendering of anisotropic porous layers. |
Simon Lucas; Micka\{e}l Ribardi\`{e}re; Romain Pacanowski; Pascal Barla; |
| 211 | From Microfacets to Participating Media: A Unified Theory of Light Transport with Stochastic Geometry Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although each of these models operates on the same principle of replacing intricate geometry by a random process and deriving the average light transport across all instances thereof, they are each tailored to one specific application and are fundamentally distinct. Each type of stochastic geometry present in the scene is firmly encapsulated in its own appearance model, with its own statistics and light transport average, and no cross-talk between different models or deterministic and stochastic geometry is possible.In this paper, we derive a theory of light transport on stochastic implicit surfaces, a geometry model capable of expressing deterministic geometry, microfacet surfaces, participating media, and an exciting new continuum in between containing aggregate appearance, non-classical media, and more. |
Dario Seyb; Eugene d’Eon; Benedikt Bitterli; Wojciech Jarosz; |
| 212 | A Free-Space Diffraction BSDF Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Free-space diffractions are an optical phenomenon where light appears to bend around the geometric edges and corners of scene objects. In this paper we present an efficient method to simulate such effects. |
Shlomi Steinberg; Ravi Ramamoorthi; Benedikt Bitterli; Arshiya Mollazainali; Eugene D’Eon; Matt Pharr; |
| 213 | One Noise to Rule Them All: Learning A Unified Model of Spatially-Varying Noise Patterns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Many different types of noise exist, each produced by a separate algorithm. In this paper, we present a single generative model which can learn to generate multiple types of noise as well as blend between them. |
Arman Maesumi; Dylan Hu; Krishi Saripalli; Vladimir Kim; Matthew Fisher; Soeren Pirk; Daniel Ritchie; |
| 214 | Position-Based Nonlinear Gauss-Seidel for Quasistatic Hyperelasticity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show that a position-based, rather than constraint-based nonlinear Gauss-Seidel approach resolves a number of issues with PBD, particularly in the quasistatic setting. |
Yizhou Chen; Yushan Han; Jingyu Chen; Zhan Zhang; Alex Mcadams; Joseph Teran; |
| 215 | Vertex Block Descent Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce vertex block descent, a block coordinate descent solution for the variational form of implicit Euler through vertex-level Gauss-Seidel iterations. |
Anka He Chen; Ziheng Liu; Yin Yang; Cem Yuksel; |
| 216 | Simplicits: Mesh-Free, Geometry-Agnostic Elastic Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a data-, mesh-, and grid-free solution for elastic simulation for any object in any geometric representation undergoing large, nonlinear deformations. |
Vismay Modi; Nicholas Sharp; Or Perel; Shinjiro Sueda; David I. W. Levin; |
| 217 | A Neural Network Model for Efficient Musculoskeletal-Driven Skin Deformation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a comprehensive neural network to model the deformation of human soft tissues including muscle, tendon, fat and skin. |
Yushan Han; Yizhou Chen; Carmichael Ong; Jingyu Chen; Jennifer Hicks; Joseph Teran; |
| 218 | BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents BrepGen, a diffusion-based generative approach that directly outputs a Boundary representation (B-rep) Computer-Aided Design (CAD) model. |
Xiang Xu; Joseph Lambourne; Pradeep Jayaraman; Zhengqing Wang; Karl Willis; Yasutaka Furukawa; |
| 219 | CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensive expertise and efforts. To narrow this disparity, we introduce CLAY, a 3D geometry and material generator designed to effortlessly transform human imagination into intricate 3D digital structures. |
Longwen Zhang; Ziyu Wang; Qixuan Zhang; Qiwei Qiu; Anqi Pang; Haoran Jiang; Wei Yang; Lan Xu; Jingyi Yu; |
| 220 | TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a 3D scene editing framework, TIP-Editor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. |
Jingyu Zhuang; Di Kang; Yan-Pei Cao; Guanbin Li; Liang Lin; Ying Shan; |
| 221 | Mesh Neural Cellular Automata Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Mesh Neural Cellular Automata (MeshNCA), a method that directly synthesizes dynamic textures on 3D meshes without requiring any UV maps. |
Ehsan Pajouheshgar; Yitao Xu; Alexander Mordvintsev; Eyvind Niklasson; Tong Zhang; Sabine S\{u}sstrunk; |
| 222 | Temporally Stable Metropolis Light Transport Denoising Using Recurrent Transformer Blocks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This drawback also makes it challenging to denoise MLT renderings while maintaining temporal stability. We tackle this issue with modern learning-based methods and build a sequence denoiser combining the recurrent connections with the cutting-edge vision transformer architecture. |
Chuhao Chen; Yuze He; Tzu-Mao Li; |
| 223 | Target-Aware Image Denoising for Inverse Monte Carlo Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For our target-aware denoising, we determine our denoising weights via a linear regression technique using the target. |
Jeongmin Gu; Jonghee Back; Sung-Eui Yoon; Bochang Moon; |
| 224 | Real-Time Path Guiding Using Bounding Voxel Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a real-time path guiding method, Voxel Path Guiding (VXPG), that significantly improves fitting efficiency under limited sampling budget. |
Haolin Lu; Wesley Chang; Trevor Hedstrom; Tzu-Mao Li; |
| 225 | Specular Polynomials Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This can be effectively solved through Laplacian expansion for one bounce and a bisection solver for more bounces.Our solution is generic, completely deterministic, accurate for the case of one bounce, and GPU-friendly. We develop efficient CPU and GPU implementations and apply them to challenging glints and caustic rendering. |
Zhimin Fan; Jie Guo; Yiming Wang; Tianyu Xiao; Hao Zhang; Chenxi Zhou; Zhenyu Chen; Pengpei Hong; Yanwen Guo; Ling-Qi Yan; |
| 226 | Spin-Weighted Spherical Harmonics for Polarized Light Transport Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To efficiently simulate and reproduce polarized light interactions using frequency-domain techniques, we address the challenge of maintaining continuity in polarized light transport represented by Stokes vectors within angular domains. |
Shinyoung Yi; Donggun Kim; Jiwoong Na; Xin Tong; Min H. Kim; |
| 227 | Theory of Human Tetrachromatic Color Experience and Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper develops theory and engineering practice for fabricating tetrachromatic colors and potentially identifying tetrachromatic color vision in the wild. |
Jessica Lee; Nicholas Jennings; Varun Srivastava; Ren Ng; |
| 228 | ColorVideoVDP: A Visual Difference Predictor for Image, Video and Display Distortions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the latter application, we collected our novel XR-Display-Artifact-Video quality dataset (XR-DAVID), comprised of 336 distorted videos. |
Rafal K. Mantiuk; Param Hanji; Maliha Ashraf; Yuta Asano; Alexandre Chapiro; |
| 229 | Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: On the other hand, existing methods in the inference-based visual ICL category solely rely on textual prompts, which fail to capture fine-grained contextual information from given examples and can be time-consuming when converting from images to text prompts. To address these challenges, we propose Analogist, a novel inference-based visual ICL approach that exploits both visual and textual prompting techniques using a text-to-image diffusion model pretrained for image inpainting. |
Zheng Gu; Shiyuan Yang; Jing Liao; Jing Huo; Yang Gao; |
| 230 | Learning Images Across Scales Using Adversarial Training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We devise a novel paradigm for learning a representation that captures an orders-of-magnitude variety of scales from an unstructured collection of ordinary images. |
Krzysztof Wolski; Adarsh Djeacoumar; Alireza Javanmardi; Hans-Peter Seidel; Christian Theobalt; Guillaume Cordonnier; Karol Myszkowski; George Drettakis; Xingang Pan; Thomas Leimk\{u}hler; |
| 231 | Contact Detection Between Curved Fibres: High Order Makes A Difference Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the sake of simplicity and versatility, most methods rely on low-order primitives such as line segments or triangles, both for the detection and the response stages. In this paper we carefully analyse, in the case of fibre systems, the impact of such choices on the retrieved contact forces. |
Octave Crespel; Emile Hohnadel; Thibaut Metivet; Florence Bertails-Descoubes; |
| 232 | FVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data. |
Francis Williams; Jiahui Huang; Jonathan Swartz; Gergely Klar; Vijay Thakkar; Matthew Cong; Xuanchi Ren; Ruilong Li; Clement Fuji-Tsang; Sanja Fidler; Eftychios Sifakis; Ken Museth; |
| 233 | Neural Gaussian Scale-Space Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an efficient and lightweight method to learn the fully continuous, anisotropic Gaussian scale space of an arbitrary signal. |
Felix Mujkanovic; Ntumba Elie Nsampi; Christian Theobalt; Hans-Peter Seidel; Thomas Leimk\{u}hler; |
| 234 | RealFill: Reference-Driven Generation for Authentic Image Completion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose RealFill, a novel generative approach for image completion that fills in missing regions of an image with the content that should have been there. |
Luming Tang; Nataniel Ruiz; Qinghao Chu; Yuanzhen Li; Aleksander Holynski; David E. Jacobs; Bharath Hariharan; Yael Pritch; Neal Wadhwa; Kfir Aberman; Michael Rubinstein; |
| 235 | Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present Semantic Gesticulator, a novel framework designed to synthesize realistic gestures accompanying speech with strong semantic correspondence. |
Zeyi Zhang; Tenglong Ao; Yuyao Zhang; Qingzhe Gao; Chuan Lin; Baoquan Chen; Libin Liu; |
| 236 | Interactive Design of Stylized Walking Gaits for Robotic Characters Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a system for the artist-directed authoring of stylized bipedal walking gaits, tailored for execution on robotic characters. |
Michael A. Hopkins; Georg Wiedebach; Kyle Cesare; Jared Bishop; Espen Knoop; Moritz B\{a}cher; |
| 237 | Biharmonic Coordinates and Their Derivatives for Triangular 3D Cages Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we derive closed-form expressions for biharmonic coordinates and their derivatives for 3D triangular cages. |
Jean-Marc Thiery; \'{E}lie Michel; Jiong Chen; |
| 238 | Curvature-Driven Conformal Deformations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach for computing conformal deformations in ℝ3 while minimizing curvature-based energies. |
Etienne Corman; |
| 239 | Repulsive Shells Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper develops a shape space framework for collision-aware geometric modeling, where basic geometric operations automatically avoid inter-penetration. |
Josua Sassen; Henrik Schumacher; Martin Rumpf; Keenan Crane; |
| 240 | Split-Aperture 2-in-1 Computational Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus computational cameras with domain-specific optics have only been adopted in a few specialized applications where the captured information cannot be acquired in other ways. In this work, we investigate a method that combines two optical systems into one to tackle this challenge. |
Zheng Shi; Ilya Chugunov; Mario Bijelic; Geoffroi C\^{o}t\'{e}; Jiwoon Yeom; Qiang Fu; Hadi Amata; Wolfgang Heidrich; Felix Heide; |
| 241 | Categorical Codebook Matching for Embodied Character Controllers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel generative framework that enables mapping from a set of sparse sensor signals to a full body avatar motion in real-time while faithfully preserving the motion context of the user. |
Sebastian Starke; Paul Starke; Nicky He; Taku Komura; Yuting Ye; |
| 242 | Interactive Character Control with Auto-Regressive Motion Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To enable real-time motion synthesis with diffusion model that allows time-varying controls, we propose A-MDM (Auto-regressive Motion Diffusion Model). |
Yi Shi; Jingbo Wang; Xuekun Jiang; Bingkun Lin; Bo Dai; Xue Bin Peng; |
| 243 | MoConVQ: Unified Physics-Based Motion Control Via Scalable Discrete Representations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations. |
Heyuan Yao; Zhenhua Song; Yuyang Zhou; Tenglong Ao; Baoquan Chen; Libin Liu; |
| 244 | Terrain Amplification Using Multi Scale Erosion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the amplification of a low-resolution input terrain into a high-resolution, hydrologically consistent terrain featuring complex patterns by a multi-scale approach. |
Hugo Schott; Eric Galin; Eric Gu\'{e}rin; Axel Paris; Adrien Peytavie; |
| 245 | Interactive Invigoration: Volumetric Modeling of Trees with Strands Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to advance tree modeling by proposing a strand-based volumetric representation for tree models. |
Bosheng Li; Nikolas Alexander Schwarz; Wojtek Pa\l{}ubicki; S\{o}ren Pirk; Bedrich Benes; |
| 246 | Surface-Filling Curve Flows Via Implicit Medial Axes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a fast, robust, and user-controllable algorithm to generate surface-filling curves. |
Yuta Noma; Silvia Sell\'{a}n; Nicholas Sharp; Karan Singh; Alec Jacobson; |
| 247 | Bilateral Guided Radiance Field Processing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve user-adjustable 3D finishing, we propose to learn a low-rank 4D bilateral grid from a given single view edit, lifting photo enhancements to the whole 3D scene. |
Yuehao Wang; Chaoyi Wang; Bingchen Gong; Tianfan Xue; |
| 248 | Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, density fields often represent geometry in a fuzzy manner, which hinders exact localization of the surface. In this work, we modify density fields to encourage them to converge towards surfaces, without compromising their ability to reconstruct thin structures. |
Christian Reiser; Stephan Garbin; Pratul Srinivasan; Dor Verbin; Richard Szeliski; Ben Mildenhall; Jonathan Barron; Peter Hedman; Andreas Geiger; |
| 249 | TensoSDF: Roughness-aware Tensorial Representation for Robust Geometry and Material Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a novel framework for robust geometry and material reconstruction, where the geometry is expressed with the implicit signed distance field (SDF) encoded by a tensorial representation, namely TensoSDF. |
Jia Li; Lu Wang; Lei Zhang; Beibei Wang; |
| 250 | Cricket: A Self-Powered Chirping Pixel Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a sensor that can measure light and wirelessly communicate the measurement, without the need for an external power source or a battery. |
Shree K. Nayar; Jeremy Klotz; Nikhil Nanda; Mikhail Fridberg; |
| 251 | Computational Illusion Knitting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Illusion patterns also uncover new fabrication challenges regarding mixed colorwork and texture; we describe new algorithms for mitigating fabrication failures and ensuring high-quality knit results. |
Amy Zhu; Yuxuan Mei; Benjamin Jones; Zachary Tatlock; Adriana Schulz; |
| 252 | Creating LEGO Figurines from Single Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a computational pipeline for creating personalized, physical LEGO®1 figurines from user-input portrait photos. |
Jiahao Ge; Mingjun Zhou; Wenrui Bao; Hao Xu; Chi-Wing Fu; |