Paper Digest: SIGGRAPH 2023 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. In 2023, it is to be held in Los Angeles.
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 / summaries to quickly get the main idea of each paper.
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TABLE 1: Paper Digest: SIGGRAPH 2023 Highlights
Paper | Author(s) | |
---|---|---|
1 | Winding Numbers on Discrete Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a meaningful generalization, starting with the well-known relationship between winding numbers and harmonic functions. |
Nicole Feng; Mark Gillespie; Keenan Crane; |
2 | Flexible Isosurface Extraction for Gradient-Based Mesh Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce FlexiCubes, an isosurface representation specifically designed for optimizing an unknown mesh with respect to geometric, visual, or even physical objectives. |
Tianchang Shen; Jacob Munkberg; Jon Hasselgren; Kangxue Yin; Zian Wang; Wenzheng Chen; Zan Gojcic; Sanja Fidler; Nicholas Sharp; Jun Gao; |
3 | Topology Driven Approximation to Rational Surface-surface Intersection Via Interval Algebraic Topology Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a topology-driven hybrid symbolic-numeric framework to approximate rational parametric surface-surface intersection (SSI) based on a concept of interval algebraic topology analysis (IATA), which configures within a 4D interval box the SSI topology. |
Jin-San Cheng; Bingwei Zhang; Yikun Xiao; Ming Li; |
4 | A Practical Wave Optics Reflection Model for Hair and Fur Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we take an important step to study wave effects from rough fibers with arbitrary 3D microgeometry. |
Mengqi Xia; Bruce Walter; Christophe Hery; Olivier Maury; Eric Michielssen; Steve Marschner; |
5 | Anatomically Detailed Simulation of Human Torso Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new torso model that aims to achieve high fidelity both in perception and in functionality, while being computationally feasible for simulation and optimal control tasks. |
Seunghwan Lee; Yifeng Jiang; C. Karen Liu; |
6 | HACK: Learning A Parametric Head and Neck Model for High-fidelity Animation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce HACK (Head-And-neCK), a novel parametric model for constructing the head and cervical region of digital humans. |
Longwen Zhang; Zijun Zhao; Xinzhou Cong; Qixuan Zhang; Shuqi Gu; Yuchong Gao; Rui Zheng; Wei Yang; Lan Xu; Jingyi Yu; |
7 | GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present GestureDiffuCLIP, a neural network framework for synthesizing realistic, stylized co-speech gestures with flexible style control. |
Tenglong Ao; Zeyi Zhang; Libin Liu; |
8 | BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel transformer-based framework for automatic 3D body gesture synthesis from speech. |
Kunkun Pang; Dafei Qin; Yingruo Fan; Julian Habekost; Takaaki Shiratori; Junichi Yamagishi; Taku Komura; |
9 | Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Diffusion models have experienced a surge of interest as highly expressive yet efficiently trainable probabilistic models. We show that these models are an excellent fit for synthesising human motion that co-occurs with audio, e.g., dancing and co-speech gesticulation, since motion is complex and highly ambiguous given audio, calling for a probabilistic description. |
Simon Alexanderson; Rajmund Nagy; Jonas Beskow; Gustav Eje Henter; |
10 | Contact Edit: Artist Tools for Intuitive Modeling of Hand-Object Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We provide end-to-end art-directable (EAD) tools to model interactions based on contact areas, directly manipulate contact areas, and compute corresponding poses automatically. To make these operations intuitive and fast, we present a novel axis-based contact model that supports real-time approximately isometry-preserving operations on triangulated surfaces, permits movement between surfaces, and is both robust and scalable to large areas. |
Arjun Sriram Lakshmipathy; Nicole Feng; Yu Xi Lee; Moshe Mahler; Nancy Pollard; |
11 | Eventfulness for Interactive Video Alignment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Rather than learning an automatic solution to one specific problem, our goal is to make a much broader class of interactive alignment tasks significantly easier and less time-consuming. |
Jiatian Sun; Longxiulin Deng; Triantafyllos Afouras; Andrew Owens; Abe Davis; |
12 | FactorMatte: Redefining Video Matting for Re-Composition Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Factor Matting, an alternative formulation of the video matting problem in terms of counterfactual video synthesis that is better suited for re-composition tasks. |
Zeqi Gu; Wenqi Xian; Noah Snavely; Abe Davis; |
13 | Computational Long Exposure Mobile Photography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Both techniques are notoriously challenging and require additional equipment and advanced skills. In this paper, we describe a computational burst photography system that operates in a hand-held smartphone camera app, and achieves these effects fully automatically, at the tap of the shutter button. |
Eric Tabellion; Nikhil Karnad; Noa Glaser; Ben Weiss; David E. Jacobs; Yael Pritch; |
14 | ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce ShapeCoder, the first system capable of taking a dataset of shapes, represented with unstructured primitives, and jointly discovering (i) useful abstraction functions and (ii) programs that use these abstractions to explain the input shapes. |
R. Kenny Jones; Paul Guerrero; Niloy J. Mitra; Daniel Ritchie; |
15 | The Visual Language of Fabrics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials. |
Valentin Deschaintre; Julia Guerrero-Viu; Diego Gutierrez; Tamy Boubekeur; Belen Masia; |
16 | ArrangementNet: Learning Scene Arrangements for Vectorized Indoor Scene Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel vectorized indoor modeling approach that converts point clouds into building information models (BIM) with concise and semantically segmented polygonal meshes. |
Jingwei Huang; Shanshan Zhang; Bo Duan; Yanfeng Zhang; Xiaoyang Guo; Mingwei Sun; Li Yi; |
17 | Juxtaform: Interactive Visual Summarization for Exploratory Shape Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present juxtaform, a novel approach to the interactive summarization of large shape collections for conceptual shape design. |
Karran Pandey; Fanny Chevalier; Karan Singh; |
18 | Patternshop: Editing Point Patterns By Image Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To synthesize back point patterns, we propose a novel edge-aware objective that carefully handles sharp variations in density and correlation. |
Xingchang Huang; Tobias Ritschel; Hans-Peter Seidel; Pooran Memari; Gurprit Singh; |
19 | VideoDoodles: Hand-Drawn Animations on Videos with Scene-Aware Canvases Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an interactive system to ease the creation of so-called video doodles – videos on which artists insert hand-drawn animations for entertainment or educational purposes. |
Emilie Yu; Kevin Blackburn-Matzen; Cuong Nguyen; Oliver Wang; Rubaiat Habib Kazi; Adrien Bousseau; |
20 | StripMaker: Perception-driven Learned Vector Sketch Consolidation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose StripMaker, a new and robust learning based method for automatic consolidation of raw vector sketches. |
Chenxi Liu; Toshiki Aoki; Mikhail Bessmeltsev; Alla Sheffer; |
21 | Semi-supervised Reference-based Sketch Extraction Using A Contrastive Learning Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel multi-modal sketch extraction method that can imitate the style of a given reference sketch with unpaired data training in a semi-supervised manner. |
Chang Wook Seo; Amirsaman Ashtari; Junyong Noh; |
22 | Split-Lohmann Multifocal Displays Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work provides the design of a multifocal display that can create a dense stack of focal planes in a single shot. |
Yingsi Qin; Wei-Yu Chen; Matthew O’Toole; Aswin C. Sankaranarayanan; |
23 | Étendue Expansion in Holographic Near Eye Displays Through Sparse Eye-box Generation Using Lens Array Eyepiece Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel method the étendue expansion of near-eye holographic displays through the generation of a sparse eye-box. |
Minseok Chae; Kiseung Bang; Dongheon Yoo; Yoonchan Jeong; |
24 | Rhizomorph: The Coordinated Function of Shoots and Roots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we advance tree modeling in the following ways: First, we define a physically-plausible soil model to simulate resource gradients, such as water and nutrients. Second, we propose a novel developmental procedural model for tree roots that enables us to emergently develop root systems that adapt to various soil types. Third, we define long-distance signaling to coordinate the development of shoots and roots. |
Bosheng Li; Jonathan Klein; Dominik L. Michels; Bedrich Benes; Sören Pirk; Wojtek Pałubicki; |
25 | Example-Based Procedural Modeling Using Graph Grammars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for automatically generating polygonal shapes from an example using a graph grammar. |
Paul Merrell; |
26 | Forming Terrains By Glacial Erosion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the first solution for simulating the formation and evolution of glaciers, together with their attendant erosive effects, for periods covering the combination of glacial and inter-glacial cycles. |
Guillaume Cordonnier; Guillaume Jouvet; Adrien Peytavie; Jean Braun; Marie-Paule Cani; Bedrich Benes; Eric Galin; Eric Guérin; James Gain; |
27 | Recursive Control Variates for Inverse Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for reducing errors—variance and bias—in physically based differentiable rendering (PBDR). |
Baptiste Nicolet; Fabrice Rousselle; Jan Novak; Alexander Keller; Wenzel Jakob; Thomas Müller; |
28 | Film Grain Rendering and Parameter Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a realistic film grain rendering algorithm based on statistics derived analytically from a physics-based Boolean model that Newson et al. adopted for Monte Carlo simulations of film grain. |
Kaixuan Zhang; Jingxian Wang; Daizong Tian; Thrasyvoulos N. Pappas; |
29 | Revisiting Controlled Mixture Sampling for Rendering Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We adapt and extend the theory introduced by previous work to tackle the challenges of real-world rendering applications. |
Qingqin Hua; Pascal Grittmann; Philipp Slusallek; |
30 | Scratch-based Reflection Art Via Differentiable Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new type of 3D reflection art – scratch-based reflection art, which allows for a more compact parameter space, easier fabrication, and computationally efficient optimization. |
Pengfei Shen; Ruizeng Li; Beibei Wang; Ligang Liu; |
31 | Meso-Facets for Goniochromatic 3D Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose algorithms to control multi-material 3D printers to produce goniochromatic effects on arbitrary surfaces by procedurally augmenting the input surface with meso-facets, which allow distinct colors to be assigned to different viewing directions of the input surface while introducing minimal changes to that surface. |
Lubna Abu Rmaileh; Alan Brunton; |
32 | Skin-Screen: A Computational Fabrication Framework for Color Tattoos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We provide the first systematic overview of tattooing as a computational fabrication technique. |
Michal Piovarci; Alexandre Chapiro; Bernd Bickel; |
33 | Orientable Dense Cyclic Infill for Anisotropic Appearance Fabrication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method to 3D print surfaces exhibiting a prescribed varying field of anisotropic appearance using only standard fused filament fabrication printers. |
Xavier Chermain; Cédric Zanni; Jonàs Martínez; Pierre-Alexandre Hugron; Sylvain Lefebvre; |
34 | Differential Operators on Sketches Via Alpha Contours Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Even though extracting this 2D sketch shape is mathematically ambiguous, we propose a robust algorithm, Alpha Contours, constructing its conservative estimate: a 2D shape containing all the input strokes, which lie in its interior or on its boundary, and aligning tightly to a sketch. |
Mariia Myronova; William Neveu; Mikhail Bessmeltsev; |
35 | Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This either does not scale well with input complexity or delivers suboptimal result quality. We introduce the Minimum-Deviation-Flow Problem in bi-directed networks (Bi-MDF) and demonstrate its use in modeling and efficiently solving a variety of T-Mesh quantization problems. |
Martin Heistermann; Jethro Warnett; David Bommes; |
36 | Efficient Embeddings in Exact Arithmetic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We provide a set of tools for generating planar embeddings of triangulated topological spheres. |
Ugo Finnendahl; Dimitrios Bogiokas; Pablo Robles Cervantes; Marc Alexa; |
37 | Complex Wrinkle Field Evolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach for representing wrinkles, designed to capture complex and detailed wrinkle behavior on coarse triangle meshes, called Complex Wrinkle Fields. |
Zhen Chen; Danny Kaufman; Mélina Skouras; Etienne Vouga; |
38 | Computational Exploration of Multistable Elastic Knots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an algorithmic approach to discover, study, and design multistable elastic knots. |
Michele Vidulis; Yingying Ren; Julian Panetta; Eitan Grinspun; Mark Pauly; |
39 | Sag-Free Initialization for Strand-Based Hybrid Hair Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel four-stage sag-free initialization framework to solve stable quasistatic configurations for hybrid strand-based hair dynamic systems. |
Jerry Hsu; Tongtong Wang; Zherong Pan; Xifeng Gao; Cem Yuksel; Kui Wu; |
40 | CT2Hair: High-Fidelity 3D Hair Modeling Using Computed Tomography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce CT2Hair, a fully automatic framework for creating high-fidelity 3D hair models that are suitable for use in downstream graphics applications. |
Yuefan Shen; Shunsuke Saito; Ziyan Wang; Olivier Maury; Chenglei Wu; Jessica Hodgins; Youyi Zheng; Giljoo Nam; |
41 | EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We integrate the two techniques together in EgoLocate, a system that simultaneously performs human motion capture (mocap), localization, and mapping in real time from sparse body-mounted sensors, including 6 inertial measurement units (IMUs) and a monocular phone camera. |
Xinyu Yi; Yuxiao Zhou; Marc Habermann; Vladislav Golyanik; Shaohua Pan; Christian Theobalt; Feng Xu; |
42 | Towards Attention–aware Foveated Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we introduce the first attention-aware model of contrast sensitivity. |
Brooke Krajancich; Petr Kellnhofer; Gordon Wetzstein; |
43 | Neural Prefiltering for Correlation-Aware Levels of Detail Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a practical general-purpose neural appearance filtering pipeline for physically-based rendering. |
Philippe Weier; Tobias Zirr; Anton Kaplanyan; Ling-Qi Yan; Philipp Slusallek; |
44 | Coupling Conduction, Convection and Radiative Transfer in A Single Path-Space: Application to Infrared Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we combine our understanding and knowledge of Physics and Computer Graphics to demonstrate how to formulate and arrange different simulation spaces into a single path space. |
Mégane Bati; Stéphane Blanco; Christophe Coustet; Vincent Eymet; Vincent Forest; Richard Fournier; Jacques Gautrais; Nicolas Mellado; Mathias Paulin; Benjamin Piaud; |
45 | Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce the walk on stars (WoSt) algorithm, which solves linear elliptic PDEs with arbitrary mixed Neumann and Dirichlet boundary conditions. |
Rohan Sawhney; Bailey Miller; Ioannis Gkioulekas; Keenan Crane; |
46 | A Practical Walk-on-Boundary Method for Boundary Value Problems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the walk-on-boundary (WoB) method for solving boundary value problems to computer graphics. |
Ryusuke Sugimoto; Terry Chen; Yiti Jiang; Christopher Batty; Toshiya Hachisuka; |
47 | Boundary Value Caching for Walk on Spheres Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a fast caching strategy which first estimates solution values and derivatives at randomly sampled points along the boundary of the domain (or a local region of interest). |
Bailey Miller; Rohan Sawhney; Keenan Crane; Ioannis Gkioulekas; |
48 | Generalizing Shallow Water Simulations with Dispersive Surface Waves Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel method for simulating large bodies of water as a height field. |
Stefan Jeschke; Chris Wojtan; |
49 | Beyond Chainmail: Computational Modeling of Discrete Interlocking Materials Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for computational modeling, mechanical characterization, and macro-scale simulation of discrete interlocking materials (DIM)—3D-printed chainmail fabrics made of quasi-rigid interlocking elements. |
Pengbin Tang; Stelian Coros; Bernhard Thomaszewski; |
50 | Trim Regions for Online Computation of From-Region Potentially Visible Sets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For dynamic applications, such as streaming content over a variable-bandwidth network, online PVS computation with configurable region size is required. We address this need with trim regions, a new method for generating from-region PVS for arbitrary scenes in real time. |
Philip Voglreiter; Bernhard Kerbl; Alexander Weinrauch; Joerg Hermann Mueller; Thomas Neff; Markus Steinberger; Dieter Schmalstieg; |
51 | Potentially Visible Hidden-Volume Rendering for Multi-View Warping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the model and rendering algorithm of Potentially Visible Hidden Volumes (PVHVs) for multi-view image warping. |
Janghun Kim; Sungkil Lee; |
52 | Effect-based Multi-viewer Caching for Cloud-native Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore whether a cloud-native rendering architecture is viable and scales to multi-client rendering scenarios. |
Alexander Weinrauch; Wolfgang Tatzgern; Pascal Stadlbauer; Alexis Crickx; Jozef Hladky; Arno Coomans; Martin Winter; Joerg H. Mueller; Markus Steinberger; |
53 | Random-Access Neural Compression of Material Textures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The continuous advancement of photorealism in rendering is accompanied by a growth in texture data and, consequently, increasing storage and memory demands. To address this issue, we propose a novel neural compression technique specifically designed for material textures. |
Karthik Vaidyanathan; Marco Salvi; Bartlomiej Wronski; Tomas Akenine-Moller; Pontus Ebelin; Aaron Lefohn; |
54 | MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a Memory-Efficient Radiance Field (MERF) representation that achieves real-time rendering of large-scale scenes in a browser. |
Christian Reiser; Rick Szeliski; Dor Verbin; Pratul Srinivasan; Ben Mildenhall; Andreas Geiger; Jon Barron; Peter Hedman; |
55 | An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a framework for productively authoring novel training environments (including custom logic for environment generation, environment time stepping, and generating agent observations and rewards) that execute as high-performance, GPU-accelerated batched simulators. |
Brennan Shacklett; Luc Guy Rosenzweig; Zhiqiang Xie; Bidipta Sarkar; Andrew Szot; Erik Wijmans; Vladlen Koltun; Dhruv Batra; Kayvon Fatahalian; |
56 | Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and control the local geometry of generated shapes. To address these challenges, we propose a diffusion-based 3D generation framework — locally attentional SDF diffusion, to model plausible 3D shapes, via 2D sketch image input. |
Xin-Yang Zheng; Hao Pan; Peng-Shuai Wang; Xin Tong; Yang Liu; Heung-Yeung Shum; |
57 | 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for generative diffusion models. |
Biao Zhang; Jiapeng Tang; Matthias Nießner; Peter Wonka; |
58 | Composite Motion Learning with Task Control Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a deep learning method for composite and task-driven motion control for physically simulated characters. |
Pei Xu; Xiumin Shang; Victor Zordan; Ioannis Karamouzas; |
59 | Example-based Motion Synthesis Via Generative Motion Matching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. |
Weiyu Li; Xuelin Chen; Peizhuo Li; Olga Sorkine-Hornung; Baoquan Chen; |
60 | Learning Physically Simulated Tennis Skills from Broadcast Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a system that learns diverse, physically simulated tennis skills from large-scale demonstrations of tennis play harvested from broadcast videos. |
Haotian Zhang; Ye Yuan; Viktor Makoviychuk; Yunrong Guo; Sanja Fidler; Xue Bin Peng; Kayvon Fatahalian; |
61 | DOC: Differentiable Optimal Control for Retargeting Motions Onto Legged Robots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it remains challenging for users to retarget expressive motions onto these complex systems. In this paper, we present a Differentiable Optimal Control (DOC) framework that facilitates the transfer of rich motions from either animals or animations onto these robots. |
Ruben Grandia; Farbod Farshidian; Espen Knoop; Christian Schumacher; Marco Hutter; Moritz Bächer; |
62 | Image Vectorization and Editing Via Linear Gradient Layer Decomposition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an automatic method to convert a raster image into layered regions of linear gradients. |
Zheng-Jun Du; Liang-Fu Kang; Jianchao Tan; Yotam Gingold; Kun Xu; |
63 | ColorfulCurves: Palette-Aware Lightness Control and Color Editing Via Sparse Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, tone curves are only provided globally or per color channel (e.g., RGB). They are unrelated to the image content. Neither tone curves nor palette-based approaches support direct image-space edits—changing a specific pixel to a desired hue, saturation, and lightness. ColorfulCurves solves both of these problems by uniting palette-based and tone curve editing. |
Cheng-Kang Ted Chao; Jason Klein; Jianchao Tan; Jose Echevarria; Yotam Gingold; |
64 | Seeing Photons in Color Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a computational photography technique that reconstructs high-quality color images from mosaicked binary frames captured by a SPAD array, even for high-dyanamic-range (HDR) scenes with complex and rapid motion. |
Sizhuo Ma; Varun Sundar; Paul Mos; Claudio Bruschini; Edoardo Charbon; Mohit Gupta; |
65 | Guided Linear Upsampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple yet effective guided upsampling method. |
Shuangbing Song; Fan Zhong; Tianju Wang; Xueying Qin; Changhe Tu; |
66 | Language-based Photo Color Adjustment for Graphic Designs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce an interactive language-based approach for photo recoloring, which provides an intuitive system that can assist both experts and novices on graphic design. |
Zhenwei Wang; Nanxuan Zhao; Gerhard Hancke; Rynson W.H. Lau; |
67 | Differentiable Stripe Patterns for Inverse Design of Structured Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce Differentiable Stripe Patterns—a computational approach for automated design of physical surfaces structured with stripe-shaped bi-material distributions. |
Juan Sebastian Montes Maestre; Yinwei Du; Ronan Hinchet; Stelian Coros; Bernhard Thomaszewski; |
68 | Deployable Strip Structures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce the new concept of C-mesh to capture kinetic structures that can be deployed from a collapsed state. |
Daoming Liu; Davide Pellis; Yu-Chou Chiang; Florian Rist; Johannes Wallner; Helmut Pottmann; |
69 | B-rep Matching for Collaborating Across CAD Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Persistent referencing schemes are a fundamental aspect of most CAD tools, but models that are shared across systems cannot generally make use of these internal referencing mechanisms, creating a challenge for collaboration. In this work, we address this issue by developing a novel learning-based algorithm that can automatically find correspondences between two CAD models using the standard representation used for sharing models across CAD systems: the Boundary-Representation (B-rep). |
Benjamin Jones; James Noeckel; Milin Kodnongbua; Ilya Baran; Adriana Schulz; |
70 | ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce ∇-Prox, a domain-specific modeling language and compiler for large-scale optimization problems using differentiable proximal algorithms. |
Zeqiang Lai; Kaixuan Wei; Ying Fu; Philipp Härtel; Felix Heide; |
71 | Fast Complementary Dynamics Via Skinning Eigenmodes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a reduced-space elastodynamic solver that is well suited for augmenting rigged character animations with secondary motion. |
Otman Benchekroun; Jiayi Eris Zhang; Siddartha Chaudhuri; Eitan Grinspun; Yi Zhou; Alec Jacobson; |
72 | Motion from Shape Change Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the absence of external forces these settings are characterized by constant momentum. We exploit this in an algorithm which takes a sequence of changing shapes, say, as modeled by an animator, as input and produces corresponding motion in world coordinates. |
Oliver Gross; Yousuf Soliman; Marcel Padilla; Felix Knöppel; Ulrich Pinkall; Peter Schröder; |
73 | Second-order Stencil Descent for Interior-point Hyperelasticity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a GPU algorithm for finite element hyperelastic simulation. |
Lei Lan; Minchen Li; Chenfanfu Jiang; Huamin Wang; Yin Yang; |
74 | A Full-Wave Reference Simulator for Computing Surface Reflectance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a scalable 3D full-wave simulator for computing reference solutions to surface scattering problems, which can be used to evaluate and guide the development of approximate models for rendering. |
Yunchen Yu; Mengqi Xia; Bruce Walter; Eric Michielssen; Steve Marschner; |
75 | Pyramid Texture Filtering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple but effective technique to smooth out textures while preserving the prominent structures. |
Qing Zhang; Hao Jiang; Yongwei Nie; Wei-Shi Zheng; |
76 | Globally Consistent Normal Orientation for Point Clouds By Regularizing The Winding-Number Field Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a smooth objective function to characterize the requirements of an acceptable winding-number field, which allows one to find the globally consistent normal orientations starting from a set of completely random normals. |
Rui Xu; Zhiyang Dou; Ningna Wang; Shiqing Xin; Shuangmin Chen; Mingyan Jiang; Xiaohu Guo; Wenping Wang; Changhe Tu; |
77 | Locally Meshable Frame Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, we investigate the topology of frame fields and derive conditions on their meshability, which are the basis for a novel algorithm to automatically turn a given non-meshable frame field into a similar but locally meshable one. |
Heng Liu; David Bommes; |
78 | Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, image formation is typically under-constrained due to a limited number of measurements and bandlimited hardware, which limits the capabilities of existing reconstruction methods. To help meet these challenges, we design an analysis-by-synthesis optimization that leverages recent advances in neural rendering to perform coherent SAS imaging. |
Albert Reed; Juhyeon Kim; Thomas Blanford; Adithya Pediredla; Daniel Brown; Suren Jayasuriya; |
79 | NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment. |
Yuan Liu; Peng Wang; Cheng Lin; Xiaoxiao Long; Jiepeng Wang; Lingjie Liu; Taku Komura; Wenping Wang; |
80 | Masonry Shell Structures with Discrete Equivalence Classes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a method to model masonry shell structures where the shell elements fall into a set of discrete equivalence classes. |
Rulin Chen; Pengyun Qiu; Peng Song; Bailin Deng; Ziqi Wang; Ying He; |
81 | Generative Design of Sheet Metal Structures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we present a framework for the first automatic design of SM parts. |
Amir Barda; Guy Tevet; Adriana Schulz; Amit Haim Bermano; |
82 | Inkjet 4D Print: Self-folding Tessellated Origami Objects By Inkjet UV Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Inkjet 4D Print, a self-folding fabrication method of 3D origami tessellations by printing 2D patterns on both sides of a heat-shrinkable base sheet, using a commercialized inkjet ultraviolet (UV) printer. |
Koya Narumi; Kazuki Koyama; Kai Suto; Yuta Noma; Hiroki Sato; Tomohiro Tachi; Masaaki Sugimoto; Takeo Igarashi; Yoshihiro Kawahara; |
83 | Surface Simplification Using Intrinsic Error Metrics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a method for fast simplification of surface meshes. |
Hsueh-Ti Derek Liu; Mark Gillespie; Benjamin Chislett; Nicholas Sharp; Alec Jacobson; Keenan Crane; |
84 | Robust Low-Poly Meshing for General 3D Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a robust re-meshing approach that can automatically generate visual-preserving low-poly meshes for any high-poly models found in the wild. |
Zhen Chen; Zherong Pan; Kui Wu; Etienne Vouga; Xifeng Gao; |
85 | Evolutionary Piecewise Developable Approximations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel method to compute high-quality piecewise developable approximations for triangular meshes. |
Zheng-Yu Zhao; Mo Li; Zheng Zhang; Qing Fang; Ligang Liu; Xiao-Ming Fu; |
86 | Micro-Mesh Construction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A new generation of GPUs supports this structure with native hardware μ-mesh ray-tracing, that leverages a self-bounding, compressed displacement mapping scheme to achieve these efficiencies. In this paper, we present anautomatic method to convert an existing multi-million triangle mesh into this compact format, unlocking the advantages of the data representation for a large number of scenarios. |
Andrea Maggiordomo; Henry Moreton; Marco Tarini; |
87 | A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a robust and efficient method for simulating Lagrangian solid-fluid coupling based on a new operator splitting strategy. |
Tianyi Xie; Minchen Li; Yin Yang; Chenfanfu Jiang; |
88 | Fluid-Solid Coupling in Kinetic Two-Phase Flow Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Built upon a phase-field and velocity-distribution based lattice-Boltzmann solver for multiphase flows, this paper spells out a series of numerical improvements in momentum exchange, interfacial forces, and two-way coupling to drastically reduce these typical artifacts, thus significantly expanding the types of fluid-solid coupling that we can efficiently simulate. |
Wei Li; Mathieu Desbrun; |
89 | PolyStokes: A Polynomial Model Reduction Method for Viscous Fluid Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To accelerate solving the unsteady Stokes problem, we propose a reduced fluid model wherein interior regions are represented with incompressible polynomial vector fields. |
Jonathan Panuelos; Ryan Goldade; Eitan Grinspun; David Levin; Christopher Batty; |
90 | Building A Virtual Weakly-Compressible Wind Tunnel Testing Facility Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop an efficient and accurate virtual wind tunnel system based on recent contributions from both computer graphics and computational fluid dynamics in high-performance kinetic solvers. |
Chaoyang Lyu; Kai Bai; Yiheng Wu; Mathieu Desbrun; Changxi Zheng; Xiaopei Liu; |
91 | Fluid Cohomology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we derive the missing equations of motion for the fluid cohomology components. |
Hang Yin; Mohammad Sina Nabizadeh; Baichuan Wu; Stephanie Wang; Albert Chern; |
92 | Improved Water Sound Synthesis Using Coupled Bubbles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a practical framework for synthesizing bubble-based water sounds that captures the rich inter-bubble coupling effects responsible for low-frequency acoustic emissions from bubble clouds. |
Kangrui Xue; Ryan M. Aronson; Jui-Hsien Wang; Timothy R. Langlois; Doug L. James; |
93 | UniTune: Text-Driven Image Editing By Fine Tuning A Diffusion Model on A Single Image Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Text-driven image editing methods usually need edit masks, struggle with edits that require significant visual changes and cannot easily keep specific details of the edited portion. In this paper we make the observation that image-generation models can be converted to image-editing models simply by fine-tuning them on a single image. |
Dani Valevski; Matan Kalman; Eyal Molad; Eyal Segalis; Yossi Matias; Yaniv Leviathan; |
94 | Galaxy Maps: Localized Foliations for Bijective Volumetric Mapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A method is presented to compute volumetric maps and parametrizations of objects over 3D domains. |
Steffen Hinderink; Marcel Campen; |
95 | Variational Quasi-harmonic Maps for Computing Diffeomorphisms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose computation of variational quasi-harmonic maps to obtain smooth inversion-free maps. |
Yu Wang; Minghao Guo; Justin Solomon; |
96 | Expansion Cones: A Progressive Volumetric Mapping Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through this work, we aim at opening the door to a new family of methods by providing a novel framework based on the concept of progressive expansion. |
Valentin Zénon Nigolian; Marcel Campen; David Bommes; |
97 | Unsupervised Learning of Robust Spectral Shape Matching Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel learning-based approach for robust 3D shape matching. |
Dongliang Cao; Paul Roetzer; Florian Bernard; |
98 | ETER: Elastic Tessellation for Real-Time Pixel-Accurate Rendering of Large-Scale NURBS Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present ETER, an elastic tessellation framework for rendering large-scale NURBS models with pixel-accurate and crack-free quality at real-time frame rates. |
Ruicheng Xiong; Yang Lu; Cong Chen; Jiaming Zhu; Yajun Zeng; Ligang Liu; |
99 | Temporal Set Inversion for Animated Implicits Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We treat implicit surface rendering as a special case of the continuous constraint satisfaction problem of set inversion, which seeks preimages of arbitrary sets under vector-valued functions. From this perspective, we formalize a temporally-coherent set inversion algorithm that localizes changes in the field by range-bounding its time derivatives using interval arithmetic. |
Kavosh Jazar; Paul G. Kry; |
100 | Real-Time Radiance Fields for Single-Image Portrait View Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. |
Alex Trevithick; Matthew Chan; Michael Stengel; Eric Chan; Chao Liu; Zhiding Yu; Sameh Khamis; Manmohan Chandraker; Ravi Ramamoorthi; Koki Nagano; |
101 | Generating Activity Snippets By Learning Human-Scene Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to generate virtual activity snippets, which comprise sequenced keyframes of multi-character, multi-object interaction scenarios in 3D environments, by learning from recordings of human-scene interactions. |
Changyang Li; Lap-Fai Yu; |
102 | GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by recent advances in Deep Reinforcement Learning, we propose Guided REinforcement Learning (GREIL) Crowds, a method that learns a model for pedestrian behaviors which is guided by reference crowd data. |
Panayiotis Charalambous; Julien Pettre; Vassilis Vassiliades; Yiorgos Chrysanthou; Nuria Pelechano; |
103 | DreamFace: Progressive Generation of Animatable 3D Faces Under Text Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Dream-Face, a progressive scheme to generate personalized 3D faces under text guidance. |
Longwen Zhang; Qiwei Qiu; Hongyang Lin; Qixuan Zhang; Cheng Shi; Wei Yang; Ye Shi; Sibei Yang; Lan Xu; Jingyi Yu; |
104 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (≥ 30 fps) novel-view synthesis at 1080p resolution. |
Bernhard Kerbl; Georgios Kopanas; Thomas Leimkuehler; George Drettakis; |
105 | Virtual Mirrors: Non-Line-of-Sight Imaging Beyond The Third Bounce Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, they assume only third-bounce illumination, so they are currently limited to single-corner configurations, and present limited visibility when imaging surfaces at certain orientations. To reason about and tackle these limitations, we make the key observation that planar diffuse surfaces behave specularly at wavelengths used in the computational wave-based NLOS imaging domain. |
Diego Royo; Talha Sultan; Adolfo Muñoz; Khadijeh Masumnia-Bisheh; Eric Brandt; Diego Gutierrez; Andreas Velten; Julio Marco; |
106 | Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a challenging benchmark with thousands of 3D objects to evaluate our algorithm. |
Qiaodong Cui; Victor Rong; Desai Chen; Wojciech Matusik; |
107 | PCBend: Light Up Your 3D Shapes With Foldable Circuit Boards Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a computational design approach for covering a surface with individually addressable RGB LEDs, effectively forming a low-resolution surface screen. |
Marco Freire; Manas Bhargava; Camille Schreck; Pierre-Alexandre Hugron; Bernd Bickel; Sylvain Lefebvre; |
108 | Semantics and Scheduling for Machine Knitting Compilers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The major contribution of this work is a formal semantics for knitout, a low-level Domain Specific Language for knitting machines. |
Jenny Lin; Vidya Narayanan; Yuka Ikarashi; Jonathan Ragan-Kelley; Gilbert Bernstein; James McCann; |
109 | A Temporal Coherent Topology Optimization Approach for Assembly Planning of Bespoke Frame Structures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a computational framework for planning the assembly sequence of bespoke frame structures. |
Ziqi Wang; Florian Kennel-Maushart; Yijiang Huang; Bernhard Thomaszewski; Stelian Coros; |
110 | In-Timestep Remeshing for Contacting Elastodynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose In-Timestep Remeshing, a fully coupled, adaptive meshing algorithm for contacting elastodynamics where remeshing steps are tightly integrated, implicitly, within the timestep solve. |
Zachary Ferguson; Teseo Schneider; Danny Kaufman; Daniele Panozzo; |
111 | Shortest Path to Boundary for Self-Intersecting Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a method for efficiently computing the exact shortest path to the boundary of a mesh from a given internal point in the presence of self-intersections. |
He Chen; Elie Diaz; Cem Yuksel; |
112 | P2M: A Fast Solver for Querying Distance from Point to Mesh Surface Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop a totally different algorithmic paradigm, named P2M, to speed up point-to-mesh distance queries. |
Chen Zong; Jiacheng Xu; Jiantao Song; Shuangmin Chen; Shiqing Xin; Wenping Wang; Changhe Tu; |
113 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Moreover, we find that in some cases the model also fails to correctly bind attributes (e.g., colors) to their corresponding subjects. To help mitigate these failure cases, we introduce the concept of Generative Semantic Nursing (GSN), where we seek to intervene in the generative process on the fly during inference time to improve the faithfulness of the generated images. |
Hila Chefer; Yuval Alaluf; Yael Vinker; Lior Wolf; Daniel Cohen-Or; |
114 | Blended Latent Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present an accelerated solution to the task of local text-driven editing of generic images, where the desired edits are confined to a user-provided mask. |
Omri Avrahami; Ohad Fried; Dani Lischinski; |
115 | Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current personalization approaches struggle with lengthy training times, high storage requirements or loss of identity. To overcome these limitations, we propose an encoder-based domain-tuning approach. |
Rinon Gal; Moab Arar; Yuval Atzmon; Amit H. Bermano; Gal Chechik; Daniel Cohen-Or; |
116 | Word-As-Image for Semantic Typography Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method to create word-as-image illustrations automatically. |
Shir Iluz; Yael Vinker; Amir Hertz; Daniel Berio; Daniel Cohen-Or; Ariel Shamir; |
117 | Towards Material Digitization with A Dual-scale Optical System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a system and methods to digitize materials at two scales, designed to include high-resolution data in spatially-varying representations at larger scales. |
Elena Garces; Victor Arellano; Carlos Rodriguez-Pardo; David Pascual-Hernandez; Sergio Suja; Jorge Lopez-Moreno; |
118 | End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer Optimization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Diffmat v2, an improved differentiable procedural material library, along with a fully-automated, end-to-end procedural material capture framework that combines gradient-based optimization and gradient-free parameter search to match existing production-grade procedural materials against user-taken flash photos. |
Beichen Li; Liang Shi; Wojciech Matusik; |
119 | Materialistic: Selecting Similar Materials in Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method capable of selecting the regions of a photograph exhibiting the same material as an artist-chosen area. |
Prafull Sharma; Julien Philip; Michaël Gharbi; Bill Freeman; Fredo Durand; Valentin Deschaintre; |
120 | OctFormer: Octree-based Transformers for 3D Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose octree-based transformers, named OctFormer, for 3D point cloud learning. |
Peng-Shuai Wang; |
121 | Dictionary Fields: Learning A Neural Basis Decomposition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Dictionary Fields, a novel neural representation which decomposes a signal into a product of factors, each represented by a classical or neural field representation, operating on transformed input coordinates. |
Anpei Chen; Zexiang Xu; Xinyue Wei; Siyu Tang; Hao Su; Andreas Geiger; |
122 | ScanBot: Autonomous Reconstruction Via Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a reconstruction-oriented autoscanning approach, called ScanBot, which utilizes hierarchical deep reinforcement learning techniques for global region-of-interest (ROI) planning to improve the scanning efficiency and local next-best-view (NBV) planning to enhance the reconstruction quality. |
Hezhi Cao; Xia Xi; Guan Wu; Ruizhen Hu; Ligang Liu; |
123 | AvatarReX: Real-time Expressive Full-body Avatars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present AvatarReX, a new method for learning NeRF-based full-body avatars from video data. |
Zerong Zheng; Xiaochen Zhao; Hongwen Zhang; Boning Liu; Yebin Liu; |
124 | SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Applying sketching to NeRFs is challenging due to the inherent uncertainty for 3D generation with 2D constraints, a significant gap in content richness when generating faces from sparse sketches, and potential inconsistencies for sequential multi-view editing given only 2D sketch inputs. To address these challenges, we present SketchFaceNeRF, a novel sketch-based 3D facial NeRF generation and editing method, to produce free-view photo-realistic images. |
Lin Gao; Feng-Lin Liu; Shu-Yu Chen; Kaiwen Jiang; Chun-Peng Li; Yu-Kun Lai; Hongbo Fu; |
125 | HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To close the gap to production-level quality, we introduce HumanRF1, a 4D dynamic neural scene representation that captures full-body appearance in motion from multi-view video input, and enables playback from novel, unseen viewpoints. |
Mustafa Işık; Martin Rünz; Markos Georgopoulos; Taras Khakhulin; Jonathan Starck; Lourdes Agapito; Matthias Nießner; |
126 | NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We focus on reconstructing high-fidelity radiance fields of human heads, capturing their animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time steps. |
Tobias Kirschstein; Shenhan Qian; Simon Giebenhain; Tim Walter; Matthias Nießner; |
127 | A Fast Geometric Multigrid Method for Curved Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a geometric multigrid method for solving linear systems arising from variational problems on surfaces in geometry processing, Gravo MG. |
Ruben Wiersma; Ahmad Nasikun; Elmar Eisemann; Klaus Hildebrandt; |
128 | A Convex Optimization Framework for Regularized Geodesic Distances Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose three different regularizers and provide analytical solutions in special cases, as well as corresponding efficient optimization algorithms. |
Michal Edelstein; Nestor Guillen; Justin Solomon; Mirela Ben-Chen; |
129 | Microfacet Theory for Non-Uniform Heightfields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose new methods for combining NDFs in microfacet theory, enabling a wider range of surface statistics. |
Eugene d’Eon; Benedikt Bitterli; Andrea Weidlich; Tizian Zeltner; |
130 | Generating Procedural Materials from Text or Image Prompts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an algorithm capable of generating multiple node graphs from different types of prompts, significantly lowering the bar for users to explore a specific design space. |
Yiwei Hu; Paul Guerrero; Milos Hasan; Holly Rushmeier; Valentin Deschaintre; |
131 | A Realistic Surface-based Cloth Rendering Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a surface-based cloth shading model that generates realistic cloth appearance with ply-level details. |
Junqiu Zhu; Adrian Jarabo; Carlos Aliaga; Ling-Qi Yan; Matt Jen-Yuan Chiang; |
132 | Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel generative model, called Bidirectional GaitNet, that learns the relationship between human anatomy and its gait. |
Jungnam Park; Moon Seok Park; Jehee Lee; Jungdam Won; |
133 | Acting As Inverse Inverse Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: If audience experience is what matters most, then can we help artists and animators directly craft such experiences, independent of the concrete character actions needed to evoke those experiences? In this paper, we offer a novel computational framework for such tools. |
Kartik Chandra; Tzu-Mao Li; Joshua Tenenbaum; Jonathan Ragan-Kelley; |
134 | PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To improve the representation ability of the pose embedding while maintaining memory efficiency, we introduce feature lines, a compact yet effective 3D representation, to model more fine-grained details of human appearances. |
Zhe Li; Zerong Zheng; Yuxiao Liu; Boyao Zhou; Yebin Liu; |
135 | DARAM: Dynamic Avatar-Human Motion Remapping Technique for Realistic Virtual Stair Ascending Motions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces DARAM, a dynamic avatar-human motion remapping technique that enables VR users to ascend virtual stairs. |
Soobin Lim; Seungwon Seo; Hyeongyeop Kang; |
136 | Synthesizing Dexterous Nonprehensile Pregrasp for Ungraspable Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel method that combines graph search, optimal control, and a learning-based objective function to synthesize physically realistic and diverse nonprehensile pre-grasp motions that leverage the external contacts. |
Sirui Chen; Albert Wu; C. Karen Liu; |
137 | Zero-shot Image-to-Image Translation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce pix2pix-zero, an image-to-image translation method that can preserve the original image’s content without manual prompting. |
Gaurav Parmar; Krishna Kumar Singh; Richard Zhang; Yijun Li; Jingwan Lu; Jun-Yan Zhu; |
138 | Key-Locked Rank One Editing for Text-to-Image Personalization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The task of T2I personalization poses multiple hard challenges, such as maintaining high visual fidelity while allowing creative control, combining multiple personalized concepts in a single image, and keeping a small model size. We present Perfusion, a T2I personalization method that addresses these challenges using dynamic rank-1 updates to the underlying T2I model. |
Yoad Tewel; Rinon Gal; Gal Chechik; Yuval Atzmon; |
139 | Local Deformation for Interactive Shape Editing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel regularization for localizing an elastic-energy-driven deformation to only those regions being manipulated by the user. |
Honglin Chen; Changxi Zheng; Kevin Wampler; |
140 | AniFaceDrawing: Anime Portrait Exploration During Your Sketching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Even with the latest sketch-to-image (S2I) technology, it is still difficult to create high-quality images from incomplete rough sketches for anime portraits because the lines in anime style tend to be more abstract than in realistic style. In this paper, we addressed this problem using the latent space exploration of StyleGAN with a two-stage training strategy. |
Zhengyu Huang; Haoran Xie; Tsukasa Fukusato; Kazunori Miyata; |
141 | Perspective-Correct VR Passthrough Without Reprojection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel computational camera that directly samples the rays that would have gone into the user’s eye, several centimeters behind the sensor. |
Grace Kuo; Eric Penner; Seth Moczydlowski; Alexander Ching; Douglas Lanman; Nathan Matsuda; |
142 | UrbanBIS: A Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Besides, we propose B-Seg, a building instance segmentation method to establish UrbanBIS. |
Guoqing Yang; Fuyou Xue; Qi Zhang; Ke Xie; Chi-Wing Fu; Hui Huang; |
143 | Inverse Global Illumination Using A Neural Radiometric Prior Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead, this paper proposes a radiometric prior as a simple alternative to building complete path integrals in a traditional differentiable path tracer, while still correctly accounting for global illumination. |
Saeed Hadadan; Geng Lin; Jan Novák; Fabrice Rousselle; Matthias Zwicker; |
144 | Parameter-space ReSTIR for Differentiable and Inverse Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop an algorithm to reuse Monte Carlo gradient samples between gradient iterations, motivated by reservoir-based temporal importance resampling in forward rendering. |
Wesley Chang; Venkataram Sivaram; Derek Nowrouzezahrai; Toshiya Hachisuka; Ravi Ramamoorthi; Tzu-Mao Li; |
145 | Differentiable Heightfield Path Tracing with Accelerated Discontinuities Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the problem of accelerating a physically-based differentiable renderer for heightfields based on path tracing with global illumination. |
Xiaochun Tong; Hsueh-Ti Derek Liu; Yotam Gingold; Alec Jacobson; |
146 | Stealth Shaper: Reflectivity Optimization As Surface Stylization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a technique to optimize the reflectivity of a surface while preserving its overall shape. |
Kenji Tojo; Ariel Shamir; Bernd Bickel; Nobuyuki Umetani; |
147 | Gloss-Aware Color Correction for 3D Printing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our work is motivated by previous studies demonstrating a perceived color shift due to a change in the object’s gloss, i.e., two samples with the same color but different surface gloss appear as they have different colors. In this paper, we conduct new experiments which support this observation and provide insights into the magnitude and direction of the perceived color change. |
Jorge Condor; Michal Piovarci; Bernd Bickel; Piotr Didyk; |
148 | Spectral Coarsening with Hodge Laplacians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel method that can coarsen triangle meshes, tetrahedral meshes and simplicial complexes. |
Alexandros Keros; Kartic Subr; |
149 | Polynomial 2D Green Coordinates for Polygonal Cages Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Conformal polynomial Coordinates for closed polyhedral cages, enabling segments to be transformed into polynomial curves of any order. |
Élie Michel; Jean-Marc Thiery; |
150 | Interactive Hair Simulation on The GPU Using ADMM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We devise a local–global solver dedicated to the simulation of Discrete Elastic Rods (DER) with Coulomb friction that can fully leverage the massively parallel compute capabilities of moderns GPUs. |
Gilles Daviet; |
151 | Multi-Layer Thick Shells Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel mesh-based method for simulating the intricate dynamics of (potentially multi-layered) continuum thick shells. |
Yunuo Chen; Tianyi Xie; Cem Yuksel; Danny Kaufman; Yin Yang; Chenfanfu Jiang; Minchen Li; |
152 | MoiréTag: Angular Measurement and Tracking with A Passive Marker Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Non-optical methods like IMUs are low cost and widely available, but suffer from high drift errors. To overcome these challenges, we propose a novel snapshot method for angular measurement and tracking with Moiré patterns that are generated by binary structures printed on both sides of a glass plate. |
Simeng Qiu; Hadi Amata; Wolfgang Heidrich; |
153 | Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Leveraging electromyography devices, we measure, model, and predict VR users� neck muscle contraction levels (MCL) while they move their heads to interact with the virtual environment. |
Yunxiang Zhang; Kenneth Chen; Qi Sun; |
154 | In The Blink of An Eye: Event-based Emotion Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in lighting conditions. |
Haiwei Zhang; Jiqing Zhang; Bo Dong; Pieter Peers; Wenwei Wu; Xiaopeng Wei; Felix Heide; Xin Yang; |
155 | Neural Parametric Mixtures for Path Guiding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present Neural Parametric Mixtures (NPM), a neural formulation to encode target distributions for path guiding algorithms. |
Honghao Dong; Guoping Wang; Sheng Li; |
156 | Focal Path Guiding for Light Transport Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Path guiding methods are a promising alternative, but existing techniques only handle a subset of focal effects. We propose a novel form of guiding that is specifically tailored to identify focal points and sample them in accordance to their image contribution. Our technique is the first to unify all focal effects in a single framework and we demonstrate that it can render effects that previous state-of-the-art techniques are unable to handle. |
Alexander Rath; Ömercan Yazici; Philipp Slusallek; |
157 | Progressive Null-tracking for Volumetric Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an analysis of how null-collision techniques degrade when a more aggressive initial guess for a bounding extinction underestimates the true maximum density and turns out to be non-bounding. |
Zackary Misso; Yining Karl Li; Brent Burley; Daniel Teece; Wojciech Jarosz; |
158 | Denoising-Aware Adaptive Sampling for Monte Carlo Ray Tracing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel adaptive sampling technique that further improves the efficiency of Monte Carlo rendering combined with deep-learning based denoising. |
Arthur Firmino; Jeppe Revall Frisvad; Henrik Wann Jensen; |
159 | Adaptive Local Basis Functions for Shape Completion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on the task of 3D shape completion from partial point clouds using deep implicit functions. |
Hui Ying; Tianjia Shao; He Wang; Yin Yang; Kun Zhou; |
160 | Iterative Α -(de)Blending: A Minimalist Deterministic Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an alternative approach that requires no more than undergrad calculus and probability. |
Eric Heitz; Laurent Belcour; Thomas Chambon; |
161 | Modulating Pretrained Diffusion Models for Multimodal Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present multimodal conditioning modules (MCM) for enabling conditional image synthesis using pretrained diffusion models. |
Cusuh Ham; James Hays; Jingwan Lu; Krishna Kumar Singh; Zhifei Zhang; Tobias Hinz; |
162 | COFS: COntrollable Furniture Layout Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose COFS, a method to generate furniture layouts that enables fine-grained control through attribute-level conditioning. |
Wamiq Reyaz Para; Paul Guerrero; Niloy Mitra; Peter Wonka; |
163 | CALM: Conditional Adversarial Latent Models for Directable Virtual Characters Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present Conditional Adversarial Latent Models (CALM), an approach for generating diverse and directable behaviors for user-controlled interactive virtual characters. |
Chen Tessler; Yoni Kasten; Yunrong Guo; Shie Mannor; Gal Chechik; Xue Bin Peng; |
164 | RSMT: Real-time Stylized Motion Transition for Characters Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a Real-time Stylized Motion Transition method (RSMT) to achieve all aforementioned goals. |
Xiangjun Tang; Linjun Wu; He Wang; Bo Hu; Xu Gong; Yuchen Liao; Songnan Li; Qilong Kou; Xiaogang Jin; |
165 | Algebraic Smooth Occluding Contours Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the first general-purpose smooth surface construction for which the occluding contours can be computed in closed form. |
Ryan Capouellez; Jiacheng Dai; Aaron Hertzmann; Denis Zorin; |
166 | Data-Free Learning of Reduced-Order Kinematics Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We represent subspaces as neural networks that map a low-dimensional latent vector to the full configuration space, and propose a training scheme to fit network parameters to any system of interest. |
Nicholas Sharp; Cristian Romero; Alec Jacobson; Etienne Vouga; Paul Kry; David I.W. Levin; Justin Solomon; |
167 | NeuSample: Importance Sampling for Neural Materials Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, importance sampling has been an after-thought in most neural material approaches, and has been handled by inefficient cosine-hemisphere sampling or mixing it with an additional simple analytic lobe. In this paper we fill that gap, by evaluating and comparing various pdf-learning approaches for sampling spatially varying neural materials, and proposing new variations of these approaches. |
Bing Xu; Liwen Wu; Milos Hasan; Fujun Luan; Iliyan Georgiev; Zexiang Xu; Ravi Ramamoorthi; |
168 | Metameric: Spectral Uplifting Via Controllable Color Constraints Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hereby, metamers, which are materials with differing spectral responses that appear identical under a specific illumination, are excluded. We propose a method which makes this uplifting process controllable. |
Mark van de Ruit; Elmar Eisemann; |
169 | NeRF-Texture: Texture Synthesis with Neural Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel texture synthesis method with Neural Radiance Fields (NeRF) to capture and synthesize textures from given multi-view images. |
Yi-Hua Huang; Yan-Pei Cao; Yu-Kun Lai; Ying Shan; Lin Gao; |
170 | Surface and Edge Detection for Primitive Fitting of Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To fill the gap, we present a novel surface and edge detection network (SED-Net) for accurate geometric primitive fitting of point clouds. |
Yuanqi Li; Shun Liu; Xinran Yang; Jianwei Guo; Jie Guo; Yanwen Guo; |
171 | Variational Shape Reconstruction Via Quadric Error Metrics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the strengths of quadric error metrics initially designed for mesh decimation, we propose a concise mesh reconstruction approach for 3D point clouds. |
Tong Zhao; Laurent Busé; David Cohen-Steiner; Tamy Boubekeur; Jean-Marc Thiery; Pierre Alliez; |
172 | BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for reconstructing high-quality meshes of large unbounded real-world scenes suitable for photorealistic novel view synthesis. |
Lior Yariv; Peter Hedman; Christian Reiser; Dor Verbin; Pratul P. Srinivasan; Richard Szeliski; Jonathan T. Barron; Ben Mildenhall; |
173 | AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unfortunately, the training process of the NeRF-based methods is quite time-consuming, as MLP used in the NeRF-based methods is inefficient and requires too many iterations to converge. To overcome this problem, we propose AvatarMAV, a fast 3D head avatar reconstruction method using Motion-Aware Neural Voxels. |
Yuelang Xu; Lizhen Wang; Xiaochen Zhao; Hongwen Zhang; Yebin Liu; |
174 | Deep SVBRDF Estimation from Single Image Under Learned Planar Lighting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a deep learning based method was proposed to improve the capture efficiency of single image significantly by learning the lighting pattern of a planar light source, and reconstruct high-quality SVBRDF by learning the global correlation prior of the input image. |
Lianghao Zhang; Fangzhou Gao; Li Wang; Minjing Yu; Jiamin Cheng; Jiawan Zhang; |
175 | PhotoMat: A Material Generator Learned from Single Flash Photos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Supervision on individual material maps is not available in this setting. Instead, we train a generator for a neural material representation that is rendered with a learned relighting module to create arbitrarily lit RGB images; these are compared against real photos using a discriminator. |
Xilong Zhou; Milos Hasan; Valentin Deschaintre; Paul Guerrero; Yannick Hold-Geoffroy; Kalyan Sunkavalli; Nima Khademi Kalantari; |
176 | MesoGen: Designing Procedural On-Surface Stranded Mesostructures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose MesoGen, a novel tile-centric authoring approach for the design of procedural mesostructures featuring non-periodic self-similarity while being represented as a compact and GPU-friendly model. |
Élie Michel; Tamy Boubekeur; |
177 | Constructing Printable Surfaces with View-Dependent Appearance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for the digital fabrication of surfaces whose appearance varies based on viewing direction. |
Maxine Perroni-Scharf; Szymon Rusinkiewicz; |
178 | Somigliana Coordinates: An Elasticity-derived Approach for Cage Deformation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel cage deformer based on elasticity-derived matrix-valued coordinates. |
Jiong Chen; Fernando De Goes; Mathieu Desbrun; |
179 | Mesh Density Adaptation for Template-based Shape Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we highlight an often overlooked property in the regularization: the vertex density in the mesh. |
Yucheol Jung; Hyomin Kim; Gyeongha Hwang; Seung-Hwan Baek; Seungyong Lee; |
180 | TEXTure: Text-Guided Texturing of 3D Shapes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes. |
Elad Richardson; Gal Metzer; Yuval Alaluf; Raja Giryes; Daniel Cohen-Or; |
181 | Sketch-Guided Text-to-Image Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key idea is to train a Latent Guidance Predictor (LGP) – a small, per-pixel, Multi-Layer Perceptron (MLP) that maps latent features of noisy images to spatial maps, where the deep features are extracted from the core Denoising Diffusion Probabilistic Model (DDPM) network. |
Andrey Voynov; Kfir Aberman; Daniel Cohen-Or; |
182 | FashionTex: Controllable Virtual Try-on with Text and Texture Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To support user-friendly fashion customization in full-body portraits, we propose a multi-modal interactive setting by combining the advantages of both text and texture for multi-level fashion manipulation. |
Anran Lin; Nanxuan Zhao; Shuliang Ning; Yuda Qiu; Baoyuan Wang; Xiaoguang Han; |
183 | CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for A Disentangled, Interpretable and Controllable Text-Guided Face Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Disentanglement, interpretability, and controllability are also hard to guarantee for manipulation. To alleviate these problems, we propose to define corpus subspaces spanned by relevant prompts to capture specific image characteristics. |
Chenliang Zhou; Fangcheng Zhong; Cengiz Öztireli; |
184 | An Elastic Basis for Spectral Shape Correspondence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a spectral method for finding correspondences between non-isometric shapes that aligns extrinsic features. For this, we propose a novel crease aware spectral basis, that is derived from the Hessian of an elastic thin shell energy. |
Florine Hartwig; Josua Sassen; Omri Azencot; Martin Rumpf; Mirela Ben-Chen; |
185 | Kernel-Based Frame Interpolation for Spatio-Temporally Adaptive Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In complex scenarios, this can result in unpredictable behavior and lead to color artifacts. To mitigate this and to increase robustness, we propose to estimate the interpolated frame by predicting spatially varying kernels that operate on image splats. |
Karlis Martins Briedis; Abdelaziz Djelouah; Raphaël Ortiz; Mark Meyer; Markus Gross; Christopher Schroers; |
186 | Neural Partitioning Pyramids for Denoising Monte Carlo Renderings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel kernel architecture in the line of low-pass pyramid filters. |
Martin Balint; Krzysztof Wolski; Karol Myszkowski; Hans-Peter Seidel; Rafał Mantiuk; |
187 | Deep Real-time Volumetric Rendering Using Multi-feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Multi-feature Radiance-Predicting Neural Networks (MRPNN), a practical framework with a lightweight feature fusion neural network for rendering high-order scattered radiance of participating media in real time. |
Jinkai Hu; Chengzhong Yu; Hongli Liu; Lingqi Yan; Yiqian Wu; Xiaogang Jin; |
188 | QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using Reinforcement Learning, we show that headset and controller pose, if combined with physics simulation and environment observations can generate realistic full-body poses even in highly constrained environments. |
Sunmin Lee; Sebastian Starke; Yuting Ye; Jungdam Won; Alexander Winkler; |
189 | Synthesizing Physical Character-Scene Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we present a system that uses adversarial imitation learning and reinforcement learning to train physically-simulated characters that perform scene interaction tasks in a natural and life-like manner. |
Mohamed Hassan; Yunrong Guo; Tingwu Wang; Michael Black; Sanja Fidler; Xue Bin Peng; |
190 | PMP: Learning to Physically Interact with Environments Using Part-wise Motion Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method to animate a character incorporating multiple part-wise motion priors (PMP). |
Jinseok Bae; Jungdam Won; Donggeun Lim; Cheol-Hui Min; Young Min Kim; |
191 | Simulation and Retargeting of Complex Multi-Character Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for reproducing complex multi-character interactions for physically simulated humanoid characters using deep reinforcement learning. |
Yunbo Zhang; Deepak Gopinath; Yuting Ye; Jessica Hodgins; Greg Turk; Jungdam Won; |
192 | Efficient Video Portrait Reenactment Via Grid-based Codebook Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the Video Portrait via Grid-based Codebook (VPGC) framework, which achieves efficient and high-fidelity portrait modeling. |
Kaisiyuan Wang; Hang Zhou; Qianyi Wu; Jiaxiang Tang; Zhiliang Xu; Borong Liang; Tianshu Hu; Errui Ding; Jingtuo Liu; Ziwei Liu; Jingdong Wang; |
193 | StyleAvatar: Real-time Photo-realistic Portrait Avatar from A Single Video Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose StyleAvatar, a real-time photo-realistic portrait avatar reconstruction method using StyleGAN-based networks, which can generate high-fidelity portrait avatars with faithful expression control. |
Lizhen Wang; Xiaochen Zhao; Jingxiang Sun; Yuxiang Zhang; Hongwen Zhang; Tao Yu; Yebin Liu; |
194 | Neural Face Rigging for Animating and Retargeting Facial Meshes in The Wild Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an end-to-end deep-learning approach for automatic rigging and retargeting of 3D models of human faces in the wild. |
Dafei Qin; Jun Saito; Noam Aigerman; Thibault Groueix; Taku Komura; |
195 | A Hybrid Generator Architecture for Controllable Face Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the context of human faces, we seek a data-driven generator architecture that simultaneously retains the photorealistic quality of modern generative adversarial networks (GAN) and allows explicit, disentangled controls over head shapes, expressions, identity, background, and illumination. |
Dann Mensah; Nam Hee Kim; Miika Aittala; Samuli Laine; Jaakko Lehtinen; |
196 | ClipFace: Text-guided Editing of Textured 3D Morphable Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose ClipFace, a novel self-supervised approach for text-guided editing of textured 3D morphable model of faces. |
Shivangi Aneja; Justus Thies; Angela Dai; Matthias Niessner; |
197 | ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this regard, we compute a visibility prior through the use of plane sweep volumes, which does not require any pre-training. |
Nagabhushan Somraj; Rajiv Soundararajan; |
198 | Nerfstudio: A Modular Framework for Neural Radiance Field Development Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to streamline the development and deployment of NeRF research, we propose a modular PyTorch framework, Nerfstudio. |
Matthew Tancik; Ethan Weber; Evonne Ng; Ruilong Li; Brent Yi; Terrance Wang; Alexander Kristoffersen; Jake Austin; Kamyar Salahi; Abhik Ahuja; David Mcallister; Justin Kerr; Angjoo Kanazawa; |
199 | Relighting Neural Radiance Fields with Shadow and Highlight Hints Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel neural implicit radiance representation for free viewpoint relighting from a small set of unstructured photographs of an object lit by a moving point light source different from the view position. |
Chong Zeng; Guojun Chen; Yue Dong; Pieter Peers; Hongzhi Wu; Xin Tong; |
200 | DE-NeRF: DEcoupled Neural Radiance Fields for View-Consistent Appearance Editing and High-Frequency Environmental Relighting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, high-frequency environmental relighting is also beyond their capability as lighting is modeled as Spherical Gaussian (SG) and Spherical Harmonic (SH) functions or a low-resolution environment map. To solve the above problems, we propose DE-NeRF to decouple view-independent appearance and view-dependent appearance in the scene with a hybrid lighting representation. |
Tong Wu; Jia-Mu Sun; Yu-Kun Lai; Lin Gao; |
201 | Helix-Free Stripes for Knit Graph Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The problem of placing evenly-spaced stripes on a triangular mesh mirrors that of having evenly-spaced course rows and wale columns in a knit graph for a given geometry. This work presents strategies for producing helix-free stripe patterns and traces them to produce helix-free knit graphs suitable for machine knitting. |
Rahul Mitra; Liane Makatura; Emily Whiting; Edward Chien; |
202 | Sum-of-Squares Collision Detection for Curved Shapes and Paths Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present techniques to reduce the cost of SOSP significantly. |
Paul Zhang; Zoë Marschner; Justin Solomon; Rasmus Tamstorf; |
203 | High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we introduce a high-order finite element (FE) formulation (high-order bases) for elastodynamic simulation on high-order (curved) meshes with contact handling based on the recently proposed Incremental Potential Contact (IPC) model. |
Zachary Ferguson; Pranav Jain; Denis Zorin; Teseo Schneider; Daniele Panozzo; |
204 | Drag Your GAN: Interactive Point-based Manipulation on The Generative Image Manifold Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study a powerful yet much less explored way of controlling GANs, that is, to "drag" any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. |
Xingang Pan; Ayush Tewari; Thomas Leimkühler; Lingjie Liu; Abhimitra Meka; Christian Theobalt; |
205 | Diffusion Image Analogies Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present Diffusion Image Analogies—an example-based image editing approach that builds upon the concept of image analogies originally introduced by Hertzmann et al. [2001]. |
Adéla Šubrtová; Michal Lukáč; Jan Čech; David Futschik; Eli Shechtman; Daniel Sýkora; |
206 | Single Image Neural Material Relighting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel neural material relighting method for revisualizing a photograph of a planar spatially-varying material under novel viewing and lighting conditions. |
James Bieron; Xin Tong; Pieter Peers; |
207 | Neural Biplane Representation for BTF Rendering and Acquisition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a biplane representation for BTFs, which uses a feature texture in the half-vector domain as well as the spatial domain. |
Jiahui Fan; Beibei Wang; Milos Hasan; Jian Yang; Ling-Qi Yan; |
208 | TextDeformer: Geometry Manipulation Using Text Guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a technique for automatically producing a deformation of an input triangle mesh, guided solely by a text prompt. |
William Gao; Noam Aigerman; Thibault Groueix; Vova Kim; Rana Hanocka; |
209 | Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Methods based on neural implicit representations, such as signed distance functions (SDF) or neural radiance fields, approach photo-realism, but are difficult to animate and do not generalize well to unseen data. To tackle this problem, we propose a novel method for constructing implicit 3D morphable face models that are both generalizable and intuitive for editing. |
Connor Lin; Koki Nagano; Jan Kautz; Eric Chan; Umar Iqbal; Leonidas Guibas; Gordon Wetzstein; Sameh Khamis; |
210 | Neural Progressive Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight is that the geometric details of 3D meshes often exhibit similar local patterns even across different shapes, and thus can be effectively represented with a shared learned generative space. |
Yun-Chun Chen; Vladimir Kim; Noam Aigerman; Alec Jacobson; |
211 | NOFA: NeRF-based One-shot Facial Avatar Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a one-shot 3D facial avatar reconstruction framework that only requires a single source image to reconstruct a high-fidelity 3D facial avatar. |
Wangbo Yu; Yanbo Fan; Yong Zhang; Xuan Wang; Fei Yin; Yunpeng Bai; Yan-Pei Cao; Ying Shan; Yang Wu; Zhongqian Sun; Baoyuan Wu; |
212 | LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present LatentAvatar, an expressive neural head avatar driven by latent expression codes. |
Yuelang Xu; Hongwen Zhang; Lizhen Wang; Xiaochen Zhao; Han Huang; Guojun Qi; Yebin Liu; |