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ACM Digital Library: ACM Transactions on Graphics (TOG) Volume 44, Issue 6 (December 2025) Proceedings of ACM SIGGRAPH Asia 2025
SIG/TOG: Conditionally accepted Journal Paper for presentation at SIGGRAPH Asia 2025
SIG: Conditionally accepted Conference Paper for presentation at SIGGRAPH Asia 2025
TOG: Selected ACM TOG Paper for presentation at SIGGRAPH Asia 2025
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
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Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
3D Reconstruction & Intelligent Geometry
- RCTrans: Transparent Object Reconstruction in Natural Scene via Refractive Correspondence Estimation
(SIG)
-
Fangzhou Gao,
Yuzhen Kang,
Lianghao Zhang,
Li Wang,
Qishen Wang,
Jiawan Zhang
(Tianjin University)
- Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos
(SIG)
-
Yuheng Jiang*
(Max Planck Institute for Informatics, Saarland Informatics Campus / ShanghaiTech University / ByteDance Inc.),
Chengcheng Guo*
Yize Wu,
Yu Hong,
Shengkun Zhu,
Zhehao Shen
(ShanghaiTech University),
Yingliang Zhang
(DGene Digital Technology Co., Ltd.),
Shaohui Jiao,
Zhuo Su
(ByteDance Inc.),
Lan Xu
(ShanghaiTech University),
Marc Habermann,
Christian Theobalt
(Max Planck Institute for Informatics, Saarland Informatics Campus)
* Equal contributions
- Surface-Aware Distilled 3D Semantic Features
(SIG)
-
Lukas Uzolas,
Elmar Eisemann,
Petr Kellnhofer
(Delft University of Technology)
- Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes
(SIG)

-
Shai Krakovsky
(Tel Aviv University),
Gal Fiebelman,
Sagie Benaim
(The Hebrew University of Jerusalem),
Hadar Averbuch-Elor
(Cornell University)
- PoissonNet: A Local-Global Approach for Learning on Surfaces
(SIG/TOG)

-
Arman Maesumi,
Tanish Makadia
(Brown University),
Thibault Groueix,
Vladimir Kim
(Adobe Research),
Daniel Ritchie
(Brown University),
Noam Aigerman
(University of Montreal)
- PhysFiT: Physical-aware 3D Shape Understanding for Finishing Incomplete Assembly
(TOG)

-
Weihao Wang
(Tongji University),
Mingyu You
(Tongji University / State Key Laboratory of Intelligent Autonomous Systems / Frontiers Science Center for Intelligent Autonomous Systems / Shanghai Key Laboratory of Intelligent Autonomous Systems),
Hongjun Zhou,
Bin He
(Tongji University)
Dynamic Generative Video: From Synthesis to Real-Time Editing
- Navigating with Annealing Guidance Scale in Diffusion Space
(SIG)

-
Shai Yehezkel*,
Omer Dahary*
(Tel Aviv University),
Andrey Voynov
(Google DeepMind),
Daniel Cohen-Or
(Tel Aviv University)
* Equal contribution
- Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation
(SIG)

-
Beijia Lu
(Carnegie Mellon University),
Ziyi Chen,
Jing Xiao
(PAII Inc.),
Jun-Yan Zhu
(Carnegie Mellon University)
- OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
(SIG)

-
Dvir Samuel
(OriginAI / Bar Ilan University),
Matan Levy
(The Hebrew University of Jerusalem),
Nir Darshan
(OriginAI),
Gal Chechik
(Bar Ilan University / NVIDIA Research ),
Rami Ben-Ari
(OriginAI)
- STGlight: Online Indoor Lighting Estimation via Spatio-Temporal Gaussian Fusion
(SIG/TOG)

-
Shiyuan Shen,
Zhongyun Bao
),
Hong Ding
(Guangxi University of Finance and Economics),
Wenju Xu
(Amazon),
Tenghui Lai,
Chunxia Xiao
(Wuhan University)
- GenLit: Reformulating Single-Image Relighting as Video Generation
(SIG)

-
Shrisha Bharadwaj*,
Haiwen Feng*,
Giorgio Becherini,
Victoria Fernandez Abrevaya,
Michael J. Black
(Max Planck Institute for Intelligent Systems)
* Equal contribution
- DynVFX: Augmenting Real Videos with Dynamic Content
(SIG)

-
Danah Yatim*,
Rafail Fridman*,
Omer Bar-Tal,
Tali Dekel
(Weizmann Institute of Science)
* Equal Contribution
Global Illumination & Real-Time Rendering
- Vertex Features for Neural Global Illumination
(SIG)

-
Rui Su,
Honghao Dong,
Haojie Jin,
Yisong Chen,
Guoping Wang,
Sheng Li
(Peking University)
- NeLiF: Neural Lighting Function Generation for Real-Time Indoor Rendering
(SIG)

-
Hongtao Sheng
(State Key Lab of CAD and CG, Zhejiang University),
Yuchi Huo
(State Key Lab of CAD and CG, Zhejiang University / Zhejiang Lab),
Chuankun Zheng,
Guangzhi Han
(State Key Lab of CAD and CG, Zhejiang University),
Yifan Peng
(The University of Hong Kong),
Shi Li,
Bin Zang
(State Key Lab of CAD and CG, Zhejiang University),
Hao Zhu,
Rui Tang,
Yiming Wu
(Manycore Tech Inc.),
Rui Wang,
Hujun Bao
(State Key Lab of CAD and CG, Zhejiang University)
- ReSTIR PG: Path Guiding with Spatiotemporally Resampled Paths
(SIG)

-
Zheng Zeng
(NVIDIA / University of California, Santa Barbara),
Markus Kettunen,
Chris Wyman,
Lifan Wu
(NVIDIA),
Ravi Ramamoorthi
(NVIDIA / University of California San Diego)
Ling-Qi Yan
(Mohamed bin Zayed University of Artificial Intelligence),
Daqi Lin
(NVIDIA)
- Sample Space Partitioning and Spatiotemporal Resampling for Specular Manifold Sampling
(SIG)

-
Pengpei Hong
(University of Utah),
Meng Duan,
Beibei Wang
(Nanjing University),
Cem Yuksel
(University of Utah),
Tizian Zeltner,
Daqi Lin
(NVIDIA)
- GS-ROR2: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction
(TOG)

-
Zuo-Liang Zhu
(College of Computer Science, Nankai University),
Beibei Wang
(School of Intelligence Science and Technology, Nanjing University),
Jian Yang
(College of Computer Science, Nankai University)
- Frame-Free Representation of Polarized Light for Resolving Stokes Vector Singularities
(SIG/TOG)

-
Shinyoung Yi
(KAIST / Kyung Hee University),
Jiwoong Na,
Seungmin Hwang,
Inseung Hwang,
Min H. Kim
(KAIST)
High-Performance Simulation Algorithms
- Viscous Vortex Dynamics on Surfaces
(SIG/TOG)

-
Cuncheng Zhu*,
Hang Yin*,
Albert Chern
(University of California San Diego)
* Equal contribution
- Fast Galerkin Multigrid Method for Unstructured Meshes
(SIG/TOG)

-
Jia-Ming Lu
(Tsinghua University),
Tailing Yuan
(Independent Researcher),
Zhe-Han Mo,
Shi-Min Hu
(Tsinghua University)
- A Stack-Free Parallel h-Adaptation Algorithm for Dynamically Balanced Trees on GPUs
(SIG/TOG)

-
Lixin Ren,
Xiaowei He,
Shusen Liu,
Yuzhong Guo
(Institute of Software Chinese Academy of Sciences),
Enhua Wu
(Key Laboratory of System Software (Chinese Academy of Sciences) / SKLCS, Institute of Software, Chinese Academy of Sciences)
- Implicit Position-Based Fluids
(SIG)

-
Elie Diaz,
Jerry Hsu,
Eisen Montalvo-Ruiz
(University of Utah),
Chris Giles
(Roblox),
Cem Yuksel
(University of Utah)
- Reliable Iterative Dynamics: A Versatile Method for Fast and Robust Simulation
(TOG)

-
Jia-Ming Lu,
Shi-Min Hu
(Tsinghua University)
- Implicit Bonded Discrete Element Method with Manifold Optimization
(TOG)

-
Jia-Ming Lu,
Geng-Chen Cao,
Chen-Feng Li,
Shi-Min Hu
(Tsinghua University)
Camera Control and Directed Storytelling in Video Generation
- Shape-for-Motion: Precise and Consistent Video Editing With 3D Proxy
(SIG)

-
Yuhao Liu
(City University of Hong Kong),
Tengfei Wang
(Tencent),
Fang Liu,
Zhenwei Wang,
Rynson W.H. Lau
(City University of Hong Kong)
- Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
(SIG)

-
Jiwen Yu
(University of Hong Kong),
Jianhong Bai
(Zhejiang University),
Yiran Qin
(University of Hong Kong),
Quande Liu,
Xintao Wang,
Pengfei Wan,
Di Zhang
(Kling Team, Kuaishou Technology),
Xihui Liu
(University of Hong Kong)
- CamCloneMaster: Enabling Reference-based Camera Control for Video Generation
(SIG)

-
Yawen Luo
(The Chinese University of Hong Kong),
Jianhong Bai
(Zhejiang University),
Xiaoyu Shi,
Menghan Xia,
Xintao Wang,
Pengfei Wan,
Di Zhang,
Kun Gai
(Kuaishou Technology),
Tianfan Xue
(The Chinese University of Hong Kong / CPII under InnoHK)
- Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation
(SIG)

-
Chenjie Cao
(Alibaba DAMO Academy / Fudan University / Hupan Lab),
Jingkai Zhou,
Shikai Li,
Jingyun Liang,
Chaohui Yu
(Alibaba DAMO Academy / Hupan Lab),
Fan Wang
(Alibaba DAMO Academy),
Xiangyang Xue
(Fudan University),
Yanwei Fu
(Fudan University / Shanghai Innovation Institute)
- Cut2Next: Generating Next Shot via In-Context Tuning
(SIG)

-
Jingwen He
(The Chinese University of Hong Kong / Shanghai Artificial Intelligence Laboratory),
Hongbo Liu
(Shanghai Artificial Intelligence Laboratory),
Jiajun Li,
Ziqi Huang
(S-Lab, Nanyang Technological University),
Yu Qiao
(Shanghai Artificial Intelligence Laboratory),
Wanli Ouyang
(The Chinese University of Hong Kong),
Ziwei Liu
(S-Lab, Nanyang Technological University)
- CamPVG: Camera-Controlled Panoramic Video Generation with Epipolar-Aware Diffusion
(SIG)

-
Chenhao Ji
(Tongji University / DAMO Academy, Alibaba Group),
Chaohui Yu
(DAMO Academy, Alibaba Group),
Junyao Gao
(Tongji University),
Fan Wang
(DAMO Academy, Alibaba Group),
Cairong Zhao
(Tongji University)
Material & Texture Modeling
- Scattering-Aware Color Calibration for 3D Printers Using a Simple Calibration Target
(SIG/TOG)

-
Tomas Iser
(Charles University / Additive Appearance),
Tobias Rittig
(Additive Appearance),
Alexander Wilkie
(Charles University / Additive Appearance)
- Example-Based Feature Painting on Textures
(SIG/TOG)

-
Andrei-Timotei Ardelean,
Tim Weyrich
(Friedrich-Alexander-Universitat Erlangen-Nurnberg (FAU))
- DiffTex: Differentiable Texturing for Architectural Proxy Models
(SIG/TOG)

-
Weidan Xiong,
Yongli Wu,
Bochuan Zeng
(Shenzhen University),
Jianwei Guo
(Beijing Normal University),
Dani Lischinski
(The Hebrew University of Jerusalem),
Daniel Cohen-Or
(Shenzhen University / Tel Aviv University),
Hui Huang
(Shenzhen University)
- Fine-Grained Spatially Varying Material Selection in Images
(SIG/TOG)

-
Julia Guerrero-Viu
(Universidad de Zaragoza - I3A and Adobe Research),
Michael Fischer,
Iliyan Georgiev,
Elena Garces
(Adobe Research),
Diego Gutierrez,
Belen Masia
(Universidad de Zaragoza - I3A),
Valentin Deschaintre
(Adobe Research)
- S3 Imagery: Specular Shading from Scratch-Anisotropy
(SIG)

-
Pengfei Shen,
Feifan Qu,
Li Liao
(The University of Hong Kong),
Ruizhen Hu
(Shenzhen University),
Yifan (Evan) Peng
(The University of Hong Kong)
- SeqTex: Generate Mesh Textures in Video Sequence
(SIG)

-
Ze Yuan*,
Xin Yu*,
Yangtian Sun
(University of Hong Kong),
Yuan-Chen Guo,
Yan-Pei Cao,
Ding Liang
(VAST)
Xiaojuan Qi
(University of Hong Kong)
* Equal contribution
Mesh Processing
- Simplifying Textured Triangle Meshes in the Wild
(SIG/TOG)

-
Hsueh-Ti Derek Liu,
Xiaoting Zhang
(Roblox),
Cem Yuksel
(University of Utah and Roblox)
- PartUV: Part-Based UV Unwrapping of 3D Meshes
(SIG)

-
Zhaoning Wang
(Hillbot Inc.),
Xinyue Wei,
Ruoxi Shi
(Hillbot Inc. and University of California, San Diego),
Xiaoshuai Zhang
(Hillbot Inc.),
Hao Su
(Hillbot Inc. and University of California, San Diego),
Minghua Liu
(Hillbot Inc.)
- Local Surface Parameterizations via Smoothed Geodesic Splines
(TOG)

-
Abhishek Madan
(University of Toronto),
David I.W. Levin
(University of Toronto and NVIDIA)
- Solid-Shell Labeling for Discrete Surfaces
(SIG)

-
Siqi Wang
(New York University),
Janos Meny,
Izak Grguric,
Mehdi Rahimzadeh
(Roblox),
Denis Zorin,
Daniele Panozzo
(New York University),
Hsueh-Ti Derek Liu
(Roblox)
- RibbonSculpt: Voronoi Ball based 3D Sculpting from Sparse VR Ribbons
(SIG)

-
Anandhu Sureshkumar,
Amal Dev Parakkat
(Telecom Paris),
Georges-Pierre Bonneau,
Stefanie Hahmann
(INRIA, LJK, Universite Grenoble Alpes),
Marie-Paule Cani
(CNRS, LIX - Ecole Polytechnique, Institut Polytechnique de Paris)
- A fast, efficient, and robust feature protected denoising method
(TOG)

-
Mengyu Luo,
Jian Wang
(Nanjing University of Information Science and Technology)
Neural & Implicit Representations for Geometry and Physics
- Precise Gradient Discontinuities in Neural Fields for Subspace Physics
(SIG)

-
Mengfei Liu*,
Yue Chang*,
Zhecheng Wang
(University of Toronto),
Peter Yichen Chen
(University of British Columbia),
Eitan Grinspun
(University of Toronto)
* Denotes Equal Contribution
- Variational Neural Surfacing of 3D Sketches
(SIG)

-
Yutao Zhang,
Stephanie wang,
Mikhail Bessmeltsev
(Universite de Montreal)
- NeuVAS: Neural Implicit Surfaces for Variational Shape Modeling
(SIG/TOG)

-
Pengfei Wang
(Shandong University),
Qiujie Dong
(The University of Hong Kong),
Fangtian Liang
(Shandong University),
Hao Pan
(Tsinghua University),
Lei Yang
(The University of Hong Kong),
Congyi Zhang
(University of British Columbia / The University of Texas at Dallas),
Guying Lin
(The University of Hong Kong),
Caiming Zhang,
Yuanfeng Zhou,
Changhe Tu,
Shiqing Xin
(Shandong University),
Alla Sheffer
(University of British Columbia),
Xin Li,
Wenping Wang
(Texas A&M University)
- Neural Kinematic Bases for Fluids
(SIG)

-
Yibo Liu
(University of Victoria),
Zhixin Fang
(Inworld AI),
Sune Darkner
(University of Copenhagen),
Noam Aigerman
(University of Montreal),
Kenny Erleben
(University of Copenhagen),
Paul Kry
(McGill University),
Teseo Schneider
(University of Victoria)
- Neural Octahedral Field: Octahedral Prior for Simultaneous Smoothing and Sharp Edge Regularization
(SIG/TOG)

-
Ruichen Zheng
(Tsinghua University and Shenzhen University),
Tao Yu
(Tsinghua University),
Ruizhen Hu
(Shenzhen University)
- Practical Gaussian process implicit surfaces with sparse convolutions
(SIG/TOG)

-
Kehan Xu
(Dartmouth College),
Benedikt Bitterli,
Eugene d'Eon
(NVIDIA),
Wojciech Jarosz
(Dartmouth College)
Creating Digital Humans
- Generative Head-Mounted Camera Captures for Photorealistic Avatars
(SIG/TOG)

-
Shaojie Bai*
(Meta Reality Labs),
Seunghyeon Seo*
(Meta Reality Labs and Seoul National University),
Yida Wang,
Chenghui Li,
Owen Wang,
Te-Li Wang,
Tianyang Ma,
Jason Saragih,
Shih-En Wei
(Meta Reality Labs),
Nojun Kwak
(Seoul National University),
Hyung Jun Kim
(Meta Reality Labs)
* Both authors contributed equally to this research.
- InfiniHuman: Realistic 3D Human Creation with Precise Control
(SIG)

-
Yuxuan Xue
(University of Tubingen and Tubingen AI Center),
Xianghui Xie
(University of Tubingen / Tubingen AI Center / Max Planck Institute for Informatics, Saarland Informatics Campus),
Margaret Kostyrko
(University of Tubingen and Tubingen AI Center),
Gerard Pons-Moll
(University of Tubingen / Tubingen AI Center / Max Planck Institute for Informatics, Saarland Informatics Campus)
- HRM^2Avatar: High-Fidelity Real-Time Mobile Avatars from Monocular Phone Scans
(SIG)

-
Chao Shi*
(Alibaba Group),
Shenghao Jia*
(Alibaba Group and Shanghai Jiao Tong University),
Jinhui Liu,
Yong Zhang,
Liangchao Zhu,
Zhonglei Yang,
Jinze Ma
(Alibaba Group),
Chaoyue Niu
(Shanghai Jiao Tong University),
Chengfei Lv
(Alibaba Group)
* Equal Contribution
- PriorAvatar: Efficient and Robust Avatar Creation from Monocular Video Using Learned Priors
(SIG)

-
Tianjian Jiang,
Hsuan-I Ho,
Manuel Kaufmann
(ETH Zurich),
Jie Song
(Hong Kong University of Science and Technology, Guangzhou and Hong Kong University of Science and Technology)
- Constructing Diffusion Avatar with Learnable Embeddings
(SIG)

-
Xuan Gao,
Jingtao Zhou,
Dongyu Liu,
Yuqi Zhou,
Juyong Zhang
(University of Science and Technology of China)
- HumanLift: Single-Image 3D Human Reconstruction with 3D-Aware Diffusion Priors and Facial Enhancement
(SIG)

-
Jie Yang
(Chinese Academy of Sciences),
Bo-Tao Zhang,
Feng-Lin Liu
(Chinese Academy of Sciences and University of Chinese Academy of Sciences),
Hongbo Fu
(Hong Kong University of Science and Technology),
Yu-Kun Lai
(Cardiff University),
Lin Gao
(Chinese Academy of Sciences and University of Chinese Academy of Sciences)
Physically Based Simulation & Dynamic Environments
- A Highly-Efficient Hybrid Simulation System for Flight Controller Design and Evaluation of Unmanned Aerial Vehicles
(SIG/TOG)

-
Jiwei Wang*,
Wenbin Song*,
Yichen Fan,
Yang Wang,
Xiaopei Liu
(ShanghaiTech University)
- PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image
(SIG)

-
Pradyumna Yalandur Muralidhar*
(University of Tubingen and Zuse School ELIZA),
Yuxuan Xue*
(University of Tubingen and Tubingen AI Center),
Xianghui Xie
(University of Tubingen / Tubingen AI Center / MPI for Informatics),
Margaret Kostyrko
(University of Tubingen),
Gerard Pons-Moll
(University of Tubingen / Tubingen AI Center / MPI for Informatics)
* Equal Contribution
- FreeMusco: Motion-Free Learning of Latent Control for Morphology-Adaptive Locomotion in Musculoskeletal Characters
(SIG)
-
Minkwan Kim,
Yoonsang Lee
(Hanyang University)
- CFC: Simulating Character-Fluid Coupling using a Two-Level World Model
(SIG/TOG)

-
Zhiyang Dou
(The University of Hong Kong),
Chen Peng,
Xinyu Lu
(Centre for Transformative Garment Production),
Xiaohan Ye
(The University of Hong Kong),
Lixing Fang
(University of Massachusetts Amherst),
Yuan Liu
(HKUST,),
Wenping Wang
(Texas A&M University),
Chuang Gan
(University of Massachusetts Amherst),
Lingjie Liu
(University of Pennsylvania),
Taku Komura
(The University of Hong Kong)
- Fast & Stable Control of Coupled Solid-Fluid Dynamic Systems
(SIG)

-
Jie Chen
(Nankai University),
Zherong Pan
(LightSpeed Studios),
Bo Ren
(Nankai University)
- Force-Dual Modes: Subspace Design from Stochastic Forces
(SIG/TOG)

-
Otman Benchekroun,
Eitan Grinspun
(University of Toronto),
Maurizio Chiaramonte,
Philip Allen Etter
(Meta Reality Labs)
Smart Process Planning for Manufacturing
- Waste-to-Value: Reutilized Material Maximization for Additive and Subtractive Hybrid Remanufacturing
(SIG/TOG)
-
Fanchao Zhong,
Zhenmin Zhang,
Liyuan Wang,
Xin Yan,
Jikai Liu,
Lin Lu,
Haisen Zhao
(Shandong University)
- Can Any Model Be Fabricated? Inverse Operation Based Planning for Hybrid Additive–Subtractive Manufacturing
(SIG/TOG)

-
Yongxue Chen,
Tao Liu,
Yuming Huang,
Weiming Wang,
Tianyu Zhang,
Kun Qian,
Zikang Shi,
Charlie C.L. Wang
(The University of Manchester)
* Joint first authors
- Chapper: Carvable Hull-and-Pack for Subtractive Manufacturing
(SIG/TOG)
-
Zhenmin Zhang,
Shuai Feng,
Hao Xu,
Lujiaoyang Fu,
Lin Lu
(Shandong University),
Jianwei Guo
(Beijing Normal University),
Haisen Zhao
(Shandong University)
- MiGumi: Making Tightly Coupled Integral Joints Millable
(SIG/TOG)

-
Aditya Ganeshan
(Brown University),
Kurt Fleischer
(Pixar Animation Studios),
Wenzel Jakob
(EPFL),
Ariel Shamir
(Reichman University),
Daniel Ritchie
(Brown University),
Takeo Igarashi,
Maria Larsson
(University of Tokyo)
- Curve-Based Slicer for Multi-Axis DLP 3D Printing
(SIG/TOG)

-
Chengkai Dai*
(Centre for Perceptual and Interactive Intelligence),
Tao Liu*
(The University of Manchester),
Dezhao Guo
(The Chinese University of Hong Kong),
Binzhi Sun,
Guoxin Fang,
Yeung Yam
(Centre for Perceptual and Interactive Intelligence and The Chinese University of Hong Kong),
Charlie C.L. Wang
(The University of Manchester)
* Equal Contribution
- INF-3DP: Implicit Neural Fields for Collision-Free Multi-Axis 3D Printing
(SIG/TOG)

-
Jiasheng Qu
(The Chinese University of Hong Kong),
Zhuo Huang
(The Chinese University of Hong Kong and The University of Manchester),
Dezhao Guo,
Hailin Sun
(The Chinese University of Hong Kong),
Aoran Lyu
(The University of Manchester),
Chengkai Dai*
(Centre for Perceptual and Interactive Intelligence),
Yeung Yam,
Guoxin Fang
(Centre for Perceptual and Interactive Intelligence and The Chinese University of Hong Kong)
Visibility & Real-Time Rendering
- NeuralPVS: Learned Estimation of Potentially Visible Sets
(SIG)

-
Xiangyu Wang
(VISUS, University of Stuttgart),
Thomas Kohler,
Jun Lin Qiu
(Graz University of Technology),
Shohei Mori
(VISUS, University of Stuttgart),
Markus Steinberger
(Graz University of Technology),
Dieter Schmalstieg
(VISUS, University of Stuttgart and Graz University of Technology)
- Neural Visibility of Point Sets
(SIG)

-
Jun-Hao Wang*,
Yi-Yang Tian*,
Baoquan Chen,
Peng-Shuai Wang
(Peking University)
*Joint first authors
- Potentially Visible Set Generation with the Disocclusion Buffer
(SIG)

-
Sebastian Kunzel,
Sergej Geringer,
Quynh Quang Ngo
(University of Stuttgart),
Philip Voglreiter
(Graz University of Technology),
Daniel Weiskopf,
Dieter Schmalstieg
(University of Stuttgart)
- Lightweight, Edge-Aware, and Temporally Consistent Supersampling for Mobile Real-Time Rendering
(SIG/TOG)

-
Sipeng Yang
(State Key Lab of CAD and CG, Zhejiang University / Hangzhou Research Institute of AI and Holographic Technology),
Jiayu Ji,
Junhao Zhuge,
Jinzhe Zhao
(State Key Lab of CAD and CG, Zhejiang University),
Qiang Qiu, Chen Li, Yuzhong Yan, Kerong Wang
(OPPO Computing & Graphics Research Institute),
Ling-Qi Yan
(Mohamed bin Zayed University of Artificial Intelligence),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University)
- Lightweight, Edge-Aware, and Temporally Consistent Supersampling for Mobile Real-Time Rendering
(SIG/TOG)

-
Sipeng Yang
(State Key Lab of CAD and CG, Zhejiang University / Hangzhou Research Institute of AI and Holographic Technology),
Jiayu Ji,
Junhao Zhuge,
Jinzhe Zhao
(State Key Lab of CAD and CG, Zhejiang University),
Qiang Qiu, Chen Li, Yuzhong Yan, Kerong Wang
(OPPO Computing & Graphics Research Institute),
Lingqi Yan
(Mohamed bin Zayed University of Artificial Intelligence),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University)
- Consecutive Frame Extrapolation with Predictive Sparse Shading
(SIG/TOG)

-
Zhizhen Wu,
Zhe Cao
(State Key Lab of CAD and CG, Zhejiang University),
Yazhen Yuan
(Tencent),
Zhilong Yuan,
Rui Wang,
Yuchi Huo
(State Key Lab of CAD and CG, Zhejiang University)
- PatchEX: High-Quality Real-Time Temporal Supersampling through Patch-based Parallel Extrapolation
(TOG)

-
Akanksha Dixit,
Smruti R. Sarangi
(Indian Institute of Technology Delhi)
Audio-Driven Facial and Portrait Animation
- Audio Driven Real-Time Facial Animation for Social Telepresence
(SIG)

-
Jiye Lee
(Codec Avatars Lab, Meta and Seoul National University),
Chenghui Li,
Linh Tran,
Shih-En Wei,
Jason Saragih,
Alexander Richard
(Codec Avatars Lab, Meta),
Hanbyul Joo
(Seoul National University),
Shaojie Bai
(Codec Avatars Lab, Meta)
- LSF-Animation: Label-Free Speech-Driven Facial Animation via Implicit Feature Representation
(SIG)

-
Xin Lu
(University of Chinese Academy of Science and Zhongguancun Academy),
Chuanqing Zhuang
((University of Chinese Academy of Science),
Chenxi Jin
(National University of Singapore),
Zhengda Lu,
(University of Chinese Academy of Science),
Yiqun Wang
(Chongqing University),
Wu Liu
(University of Science and Technology of China),
Jun Xiao
(University of Chinese Academy of Science and Zhongguancun Academy)
- High-Fidelity Dynamic Portrait Animation via Direct Preference Optimization and Temporal Motion Modulation
(SIG)

-
Jiahao Cui*,
Baoyou Chen*,
Mingwang Xu,
Hanlin Shang,
Yuxuan Chen,
Yun Zhan
(Fudan University),
Zilong Dong,
(Alibaba Group),
Yao Yao
(Nanjing University),
Jingdong Wang
(Baidu Inc),
Siyu Zhu
(Fudan University and Shanghai Innovative Institute)
* indicates equal contribution
- Audio-Driven Universal Gaussian Head Avatars
(SIG)

-
Kartik Teotia,
Helge Rhodin,
Mohit Mendiratta
(Max Planck Institute for Informatics and Saarland Informatics Campus),
Hyeongwoo Kim
(Imperial College London),
Marc Habermann,
Christian Theobalt
(Max Planck Institute for Informatics and Saarland Informatics Campus)
- ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model
(SIG)

-
Xuangeng Chu,
Nabarun Goswami,
Ziteng Cui,
Hanqin Wang
(The University of Tokyo),
Tatsuya Harada
(RIKEN AIP)
- X-Actor: Emotional and Expressive Long-Range Portrait Acting from Audio
(SIG)

-
Chenxu Zhang,
Zenan Li,
Hongyi Xu,
You Xie,
Xiaochen Zhao,
Tianpei Gu,
Guoxian Song,
Xin Chen,
Chao Liang,
Jianwen Jiang,
Linjie Luo
(ByteDance Inc.)
Computational Design & Fabricability
- LEGO-Maker: Autoregressive Image-Conditioned LEGO Model Creation
(SIG/TOG)

-
Jiahao Ge*,
Mingjun Zhou*,
Hanyou Zheng
(The Chinese University of Hong Kong),
Hao Xu
(Unicus Research),
Chi-Wing Fu
(The Chinese University of Hong Kong)
* joint 1st authors
- LegoACE: Autoregressive Construction Engine for Expressive LEGO Assemblies
(SIG)

-
Hao Xu,
Yuqing Zhang,
Yiqian Wu
(State Key Lab of CAD and CG, Zhejiang University),
Xinyang Zheng
(Tsinghua University),
Yutao Liu
(VAST),
Xiangjun Tang
(KAUST),
Yunhan Yan
(University of Hong Kong),
Ding Liang,
Yingtian Liu,
Yuanchen Guo,
Yanpei Cao
(VAST),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University)
- Computational Design of Shape-Aware Sieves
(SIG)

-
David Cha,
Oded Stein
(University of Southern California)
- Designing with Tension: Nearly-Developable Patch Layouts
(SIG)

-
Anna Maria Eggler
(ETH Zurich),
Nico Pietroni
(University of Technology Sydney),
Pengbin Tang
Michal Piovarci,
Bernd Bickel
(ETH Zurich)
- Inverse Tiling of 2D Finite Domains
(SIG)
-
Rulin Chen
(SUTD and BNBU),
Xuyang Ma,
Praveer Tewari
(SUTD),
Chi-Wing Fu
(CUHK),
Peng Song
(SUTD)
- Fabricable Discretized Ruled Surfaces
(TOG)

-
Hassan Baharami
(University of Technology Sydney),
Michal Piovarci
(ETH Zurich),
Marco Tarini
(Universita degli Studi di Milano),
Bernd Bickel
(ETH Zurich),
Nico Pietroni
(University of Technology Sydney)
Computational Photography & Cameras
- CameraVDP: Perceptual Display Assessment with Uncertainty Estimation via Camera and Visual Difference Prediction
(SIG)

-
Yancheng Cai
(University of Cambridge),
Robert Wanat
(LG Electronics North America),
Rafal K. Mantiuk
(University of Cambridge)
- DiffCamera: Arbitrary Refocusing on Images
(SIG)

-
Yiyang Wang,
Xi Chen
(The University of Hong Kong),
Xiaogang Xu
(The Chinese University of Hong Kong),
Yu Liu
(Tongyi Lab),
Hengshuang Zhao
(The University of Hong Kong)
- Learning to Refocus with Video Diffusion Models
(SIG)

-
SaiKiran Tedla
(Adobe Research and York University),
Zhoutong Zhang,
Xuaner Zhang,
Shumian Xin
(Adobe Research)
- Generating the Past, Present and Future from a Motion-Blurred Image
(SIG/TOG)

-
SaiKiran Tedla
(York University),
Kelly Zhu
(University of Toronto and Vector Institute),
Trevor Canham
(York University),
Felix Taubner
(University of Toronto and Vector Institute),
Michael S. Brown
(York University),
Kiriakos N. Kutulakos,
David B. Lindell
(University of Toronto and Vector Institute)
- Automated Design of Compound Lenses with Discrete-Continuous Optimization
(SIG)

-
Arjun Teh
(Carnegie Mellon University),
Delio Vicini,
Bernd Bickel
(Google),
Ioannis Gkioulekas,
Matthew O'Toole
(Carnegie Mellon University)
- UltraZoom: Generating Gigapixel Images from Regular Photos
(SIG)

-
Jingwei Ma,
Vivek Jayaram,
Brian Curless,
Ira Kemelmacher-Shlizerman,
Steven M. Seitz
(University of Washington)
Sampling, Reconstruction & Variance Reduction
- Nonlinear Noise2Noise for Efficient Monte Carlo Denoiser Training
(SIG)

-
Andrew Tinits,
Stephen Mann
(University of Waterloo)
- Statistical Error Reduction for Monte Carlo Rendering
(SIG)
-
Hiroyuki Sakai,
Christian Freude,
Michael Wimmer,
David Hahn
(TU Wien)
- DSCombiner: Double Shrinkage for Combining Biased and Unbiased Monte Carlo Renderings
(SIG/TOG)

-
Chenxi Zhou,
Keheng Xu,
Mufan Guo,
Xianhao Yu,
Zhimin Fan,
Guihuan Feng, Yanwen Guo,
Jie Guo
(Nanjing University)
- Jackknife Transmittance and MIS Weight Estimation
(SIG/TOG)

-
Christoph Peters
(Delft University of Technology)
- Imperfect Image-Space Control Variates for Monte Carlo Rendering
(SIG/TOG)

-
Chanu Yang,
Bochang Moon
(Gwangju Institute of Science and Technology)
- SZ Sequences: Binary-Constructed $(0, 2^q)$-Sequences
(SIG/TOG)

-
Abdalla G. M. Ahmed
(Shenzhen University),
Matt Pharr
(NVIDIA),
Victor Ostromoukhov
(Univ Lyon 1, CNRS, INSA Lyon),
Hui Huang
(Shenzhen University)
Differentiable Rendering & Applications
- Automatic Sampling for Discontinuities in Differentiable Shaders
(SIG/TOG)

-
Yash Belhe,
Ishit Mehta,
Wesley Chang
(University of California San Diego),
Iliyan Georgiev
(Adobe Research),
Michael Gharbi
(Reve),
Ravi Ramamoorthi,
Tzu-Mao Li
(University of California San Diego)
- Many-Worlds Inverse Rendering
(SIG/TOG)

-
Ziyi Zhang
Nicolas Roussel
Wenzel Jakob
(EPFL)
- Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction
(SIG/TOG)

-
Kaiwen Jiang,
Jia-Mu Sun,
Zilu Li,
Dan Wang,
Tzu-Mao Li,
Ravi Ramamoorthi
(University of California San Diego)
- Spectral Reconstruction with Uncertainty Quantification via Differentiable Rendering and Null-Space Sampling
(SIG)

-
Mengqi (Mandy) Xia,
Bai Xue,
Rachel Liang,
Holly Rushmeier
(Yale University)
- Adaptive Neural Kernels for Gradient-domain Rendering
(SIG)

-
Matthieu Josse
(Ecole Polytechnique),
Joey Litalien
(Independent),
Adrien Gruson
(ETS Montreal)
- Generalized Unbiased Reconstruction for Gradient-Domain Rendering
(SIG/TOG)

-
Difei Yan,
Zengyu Li
(Tsinghua University),
Lifan Wu
(NVIDIA),
Kun Xu
(Tsinghua University)
Generative 3D Shape Synthesis
- ShapeGen: Towards High-Quality 3D Shape Synthesis
(SIG)

-
Yangguang Li*
(The Chinese University of Hong Kong and VAST),
Xianglong He*
(Tsinghua University and VAST),
Zi-Xin Zou,
Zexiang Liu
(VAST),
Wanli Ouyang
(The Chinese University of Hong Kong and Shanghai Artificial Intelligence Laboratory),
Ding Liang,
Yan-Pei Cao
(VAST)
* Equal contribution
- Autoregressive Generation of Static and Growing Trees
(SIG)

-
Hanxiao Wang
(CASIA / KAUST),
Biao Zhang,
Jonathan Klein,
Dominik L. Michels
(KAUST),
Dongming Yan
(CASIA),
Peter Wonka
(KAUST)
- OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
(SIG)

-
Yunhan Yang*
(The University of Hong Kong),
Yufan Zhou*
(Harbin Institute of Technology),
Yuan-Chen Guo,
Zi-Xin Zou
(VAST),
Yukun Huang
(The University of Hong Kong),
Ying-Tian Liu
(VAST),
Hao Xu
(Zhejiang University),
Ding Liang,
Yan-Pei Cao
(VAST),
Xihui Liu
(The University of Hong Kong)
* Equal Contribution
- ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction
(SIG)
-
Qimin Chen
(Simon Fraser University),
Yuezhi Yang
(The University of Texas at Austin),
Yifan Wang,
Vladimir G. Kim,
Siddhartha Chaudhuri
(Adobe Research),
Hao Zhang
(Simon Fraser University),
Zhiqin Chen
(Adobe Research)
- SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation
(SIG)

-
Jingdong Zhang
(Texas A&M University),
Weikai Chen
(LightSpeed Studios),
Yuan Liu
(HKUST),
Jionghao Wang,
Zhengming Yu,
Zhuowen Shen
(Texas A&M University),
Bo Yang
(Waymo),
Wenping Wang,
Xin Li
(Texas A&M University)
Image Restoration, Editing & Enhancement
- DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model
(SIG)

-
Weiguang Zhang,
Huangcheng Lu,
Maizhen Ning
(Xi’an Jiaotong-Liverpool University and University of Liverpool),
Xiaowei Huang
(University of Liverpool),
Wei Wang
(Xi’an Jiaotong-Liverpool University),
Kaizhu Huang
(Duke Kunshan University),
Qiufeng Wang
(Xi’an Jiaotong-Liverpool University)
- HRC-Net: Learning Visual Hypothesis, Representative, and Collaboration for Multi-Domain Image Inpainting
(SIG/TOG)

-
Xin Wang
(The Hong Kong Polytechnic University),
Di Lin
(Tianjin University),
Wanchao Su
(Monash University),
Ji Du,
Renjie Zhang
(The Hong Kong Polytechnic University),
Jie Zhang
(Macao Polytechnic University),
Haotian Dong
(Tianjin University),
Ke Xu
(City University of Hong Kong),
Qing Guo
(Nankai University),
Ping Li
(The Hong Kong Polytechnic University)
- Harnessing Diffusion-Yielded Score Priors for Image Restoration
(SIG/TOG)

-
Xinqi Lin
(Shenzhen Institutes of Advanced Technology, CAS / Shenzhen University of Advanced Technology),
Fanghua Yu
Shenzhen Institutes of Advanced Technology, CAS),
Jinfan Hu,
Zhiyuan You
(Shenzhen Institutes of Advanced Technology, CAS / The Chinese University of Hong Kong),
Wu Shi
Shenzhen Institutes of Advanced Technology, CAS),
Jimmy S. Ren
(SenseTime Researc / Hong Kong Metropolitan University),
Jinjin Gu
(INSAIT, Sofia University),
Chao Dong
(Shenzhen Institutes of Advanced Technology, CAS / Shenzhen University of Advanced Technology)
- ELAD: Blind Face Restoration using Expectation-based Likelihood Approximation and Diffusion Prior
(SIG)

-
Sean Man,
Guy Ohayon,
Ron Raphaeli,
Matan Kleiner,
Michael Elad
(Technion)
- Self-supervised Underwater Color Restoration via Wavelet-Diffusion Model with Filtered Multi-Scale Feature Distillation
(SIG)

-
Xin Zhang,
Zhuang Zhou
(Beijing Institute of Technology),
Yixiao Yang
(National University of Singapore),
Haijun Xie,
Haowen Yan,
Hexiang Zhai,
Binghua Su
(Beijing Institute of Technology)
- Self-supervised Texture Filtering
(TOG)

-
Hao Jiang,
Rongjia Zheng
(Sun Yat-Sen University),
Yongwei Nie
(South China University of Technology),
Chunxia Xiao
(Wuhan University),
Wei-Shi Zheng,
Qing Zhang
(Sun Yat-Sen University)
Perception and Performance in AR/VR Systems
- Supra-threshold Contrast Perception in Augmented Reality
(SIG)

-
Dongyeon Kim,
Maliha Ashraf
(University of Cambridge),
Alexandre Chapiro
(Reality Labs, Meta),
Rafal K. Mantiuk
(University of Cambridge)
- Vertical Binocular Misalignment in AR Impairs Reading Performance
(SIG)

-
Daniel Gurman
(Reality Labs, Meta and McGill University),
Daniel P. Spiegel,
Kevin W. Rio
(Reality Labs, Meta)
- Modeling and Exploiting the Time Course of Chromatic Adaptation for Display Power Optimizations in Virtual Reality
(SIG/TOG)

-
Ethan Chen
(University of Rochester),
Sushant Kondguli,
Carl Marshall
(Meta),
Yuhao Zhu
(University of Rochester)
- Performance Analysis of Catch-Up Eye Movements in Visual Tracking
(SIG)

-
Jenna Kang,
Budmonde Duinkharjav,
Niall Williams,
Qi Sun
(New York University)
- Glare Pattern Depiction: High-Fidelity Physical Computation and Physiologically-Inspired Visual Response
(SIG/TOG)

-
Yuxiang Sun,
Gladimir V. G. Baranoski
(University of Waterloo)
- MILO: A Lightweight Perceptual Quality Metric for Image and Latent-Space Optimization
(SIG/TOG)

-
Ugur Cogalan,
Mojtaba Bemana,
Karol Myszkowski,
Hans-Peter Seidel,
Colin Groth
(MPI Informatik)
3D Reconstruction & Rendering
- EGG-Fusion: Efficient 3D Reconstruction with Geometry-aware Gaussian Surfel on the Fly
(SIG)

-
Xiaokun Pan,
Zhenzhe Li
(State Key Lab of CAD and CG, Zhejiang University),
Zhichao Ye
(SenseTime Research),
Hongjia Zhai,
Guofeng Zhang
(State Key Lab of CAD and CG, Zhejiang University)
- Inverse Radiative Transport for Infrared Scenes with Gaussian Primitives
(SIG)

-
Liu Zhenyuan,
Bharath Seshadri
(ETH Zurich),
George Kopanas
(Runway ML),
Bernd Bickel
(ETH Zurich)
- Efficient Object Reconstruction with Differentiable Area Light Shading
(SIG)

-
Yaoan Gao
(State Key Lab of CAD and CG, Zhejiang University),
Jiamin Xu
(Hangzhou Dianzi University),
James Tompkin
(Brown University),
Qi Wang
(State Key Lab of CAD and CG, Zhejiang University),
Zheng Dong
(Zhejiang Sci-Tech University / State Key Lab of CAD and CG, Zhejiang University),
Hujun Bao
(State Key Lab of CAD and CG, Zhejiang University / Zhejiang Lab),
Yujun Shen
(Ant Group),
Huamin Wang
(Style3D Research / The Ohio State University),
Changqing Zou
(State Key Lab of CAD and CG, Zhejiang University / Zhejiang Lab),
Weiwei Xu
(State Key Lab of CAD and CG, Zhejiang University)
- WATER: Watertight Tessellation for Real-Time Pixel-Accurate Rendering of Large-Scale Surfaces
(SIG/TOG)

-
Yajun Zeng
(University of Science and Technology of China),
Yang Lu,
Cong Chen
(Sheyun Technology),
Ligang Liu
(University of Science and Technology of China)
- GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats
(SIG)

-
Kai Deng, Yigong Zhang, Jian Yang
(Nankai University),
Jin Xie
(Nanjing University)
- Artifact-Resilient Real-Time Holography
(SIG/TOG)

-
Victor Chu
(Princeton University),
Oscar Pueyo-Ciutad
(Universidad de Zaragoza - I3A),
Ethan Tseng
(Princeton University),
Florian Schiffers,
Grace Kuo,
Nathan Matsuda
(Reality Labs Research, Meta),
Albert Redo-Sanchez
(Universidad de Zaragoza - I3A),
Douglas Lanman,
Oliver Cossairt
(Reality Labs Research, Meta),
Felix Heide
(Princeton University)
4D Gaussian Splatting for Dynamic Scene Reconstruction
- TrackerSplat: Exploiting Point Tracking for Fast and Robust Dynamic 3D Gaussians Reconstruction
(SIG)

-
Daheng Yin,
Isaac Ding
(Simon Fraser University),
Yili Jin
(McGill University and Simon Fraser University),
Jianxin Shi
(Nankai University and Simon Fraser University),
Jiangchuan Liu
(Simon Fraser University)
- Clustered Error Correction with Grouped 4D Gaussian Splatting
(SIG)

-
Taeho Kang,
Jaeyeon Park,
Kyungjin Lee,
Youngki Lee
(Seoul National University)
- Anchored 4D Gaussian Splatting for Dynamic Novel View Synthesis
(SIG)

-
Yilong Li,
Bo Pang,
Yisong Chen,
Guoping Wang
(Peking University)
- Prior-Enhanced Gaussian Splatting for Dynamic Scene Reconstruction from Casual Video
(SIG)

-
Meng-Li Shih
(University of Washington),
Ying-Huan Chen,
Yu-Lun (Alex) Liu
(National Yang Ming Chiao Tung University),
Brian Curless
(University of Washington)
- 4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
(SIG)

-
Yutian Chen
(Shanghai AI Laboratory and The Chinese University of Hong Kong),
Shi Guo
(Shanghai AI Laboratory),
Tianshuo Yang
(The University of Hong Kong),
Lihe Ding,
Xiuyuan Yu
(Shanghai AI Laboratory),
Jinwei Gu
(NVIDIA),
Tianfan Xue
(The Chinese University of Hong Kong and Shanghai AI Laboratory)
- Split4D: Decomposed 4D Scene Reconstruction Without Video Segmentation
(SIG/TOG)

-
Yongzhen Hu
(Zhejiang University),
Yihui Yang, Haotong Lin, Yifan Wang
(State Key Lab of CAD and CG, Zhejiang University),
Junting Dong
(Shanghai Artificial Intelligence Laboratory),
Yifu Deng, Xinyu Zhu, Fan Jia
(Ant Group),
Hujun Bao,
Xiaowei Zhou
(State Key Lab of CAD and CG, Zhejiang University),
Sida Peng
(Zhejiang University)
Animation, Simulation & Deformation
- Numerical Homogenization of Sand from Grain-level Simulations
(SIG/TOG)

-
Yi-Lu Chen,
Mickael Ly,
Chris Wojtan
(ISTA)
- Improving Curl Noise
(SIG)

-
J. Andreas Bærentzen
(Technical University of Denmark),
Jonas Martinez
(Universite de Lorraine, CNRS, Inria),
Jeppe Revall Frisvad
(Technical University of Denmark),
Sylvain Lefebvre
(Universite de Lorraine, CNRS, Inria)
- Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video
(SIG)

-
Yarin Bekor*,
Gal Harari*
(Technion),
Or Perel
(NVIDIA / University of Toronto / Vector Institute),
Or Litany
(Technion and NVIDIA)
* Equal contribution
- QMF-Blend: Quantized Matrix Factorization for Efficient Blendshape Compression
(SIG)

-
Roman Fedotov,
Brian Budge,
Ladislav Kavan
(Meta Reality Labs)
- AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
(SIG)

-
Haoyuan Shi,
Yunxin Li,
Xinyu Chen
(Harbin Institute of Technology),
Longyue Wang
(Alibaba International Group),
Baotian Hu,
Min Zhang
(Harbin Institute of Technology)
- Shape-aware Inertial Poser: Motion Tracking for Humans with Diverse Shapes Using Sparse Inertial Sensors
(SIG/TOG)

-
Lu Yin,
Ziying Shi,
Yinghao Wu
(Xiamen University),
Xinyu Yi,
Feng Xu
(Tsinghua University),
Shihui Guo
(Xiamen University)
Garment & Cloth Modeling, Simulation and Rendering
- GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling
(SIG/TOG)

-
Siran Li*
(Zhejiang Sci-Tech University / Style3D Research),
Ruiyang Liu*,
Chen Liu*
(State Key Lab of CAD and CG, Zhejiang University / Style3D Research),
Zhendong Wang,
Gaofeng He
(Style3D Research),
Yong-Lu Li
(Shanghai Jiao Tong University),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University),
Huamin Wang
(Style3D Research)
* Equal contribution
- Realistic Cloth Rendering with a Ray-Wave Hybrid Shading Model
(SIG/TOG)

-
Yunchen Yu,
Bruce Walter,
Steve Marschner
(Cornell University),
Andrea Weidlich
(NVIDIA)
- Progressive Outfit Assembly and Instantaneous Pose Transfer
(SIG)

-
Dewen Guo
(Peking University / Style3D Research),
Zhendong Wang,
Zegao Liu,
(Style3D Research),
Sheng Li,
Guoping Wang
(Peking University),
Yin Yang
(University of Utah),
Huamin Wang
(Style3D Research)
- Neighbor-Aware Data-Driven Relaxation of Stitch Mesh Models for Knits
(SIG)

-
Yura Hwang,
Jenny Han Lin,
Jerry Hsu,
Benjamin Mastripolito
(University of Utah),
James McCann
(Carnegie Mellon University),
Cem Yuksel
(University of Utah)
- A Nonconforming Formulation of Cloth
(SIG)

-
Elias Gueidon
(Reality Labs Research and University of California Los Angeles),
Maurizio M. Chiaramonte
(Reality Labs Research)
Intelligent CAD: B-Reps, NURBs & Splines
- AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometry
(SIG)

-
Xiang Xu*,
Pradeep Jayaraman*,
Joseph Lambourne*,
Yilin Liu,
Durvesh Malpure,
Pete Meltzer
(Autodesk Research)
* Equal contribution
- BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch
(SIG/TOG)

-
Pu Li*
(MAIS, Institute of Automation, Chinese Academy of Sciences / University of Chinese Academy of Sciences),
Wenhao Zhang*,
Weize Quan
(MAIS, Institute of Automation, Chinese Academy of Sciences),
Biao Zhang,
Peter Wonka
(KAUST),
Dongming Yan
(MAIS, Institute of Automation, Chinese Academy of Sciences / University of Chinese Academy of Sciences)
* These authors contributed equally
- NURBS-Based Grid Shell Form finding on Domains with Topologically Arbitrary Boundaries
(SIG/TOG)
-
Masaaki Miki
(The University of Tokyo),
Toby Mitchell
(Thornton Tomasetti)
- Overlap Region Extraction of Two NURBS Surfaces
(SIG/TOG)

-
Jieyin Yang,
Xiaohong Jia
(Academy of Mathematics and Systems Science)
- $G^2$ Interpolating Spline with Local Maximum Curvature
(SIG/TOG)

-
Bowen Jiang,
Renjie Chen
(University of Science and Technology of China)
- Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization
(SIG)

-
Yang You
(Stanford University),
Mikaela Angelina Uy
(Stanford University and NVIDIA),
Jiaqi Han,
Rahul Thomas
(Stanford University),
Haotong Zhang
(Peking University),
Yi Du,
Hansheng Chen,
Francis Engelmann
(Stanford University),
Suya You
(DEVCOM Army Research Laboratory),
Leonidas Guibas
(Stanford University)
It's All About the Motion
- Curvature Enthusiasm: Correspondence-Free Interpolation and Matching of Articulated 3D Shapes using Compressed Normal Cycles
(SIG/TOG)

-
Adam Hartshorne,
Allen Paul,
Tony Shardlow
(University of Bath),
Neill D. F. Campbell
(University College London and University of Bath)
- Motion In-Betweening for Densely Interacting Characters
(SIG)

-
Xiaotang Zhang,
Ziyi Chang
(Durham University),
Qianhui Men
(University of Bristol),
Hubert P. H. Shum
(Durham University)
- Control Operators for Interactive Character Animation
(SIG/TOG)

-
Ruiyu Gou
(Epic Games),
Michiel van de Panne
(University of British Columbia),
Daniel Holden
(Epic Games)
- Environment-aware Motion Matching
(SIG/TOG)

-
Jose Luis Ponton
(Universitat Politecnica de Catalunya),
Sheldon Andrews
(Ecole de technologie superieure),
Carlos Andujar,
Nuria Pelechano
(Universitat Politecnica de Catalunya)
- StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data
(SIG)

-
Yuxuan Mu,
Hung Yu Ling,
Yi Shi
(Simon Fraser University),
Ismael Baira Ojeda
(Electronic Arts),
Pengcheng Xi,
Chang Shu
(National Research Council Canada),
Fabio Zinno
(Electronic Arts),
Xue Bin Peng
(Simon Fraser University and NVIDIA)
- Learning to Ball: Composing Policies for Long-Horizon Basketball Moves
(SIG/TOG)

-
Pei Xu,
Zhen Wu,
Ruocheng Wang,
Vishnu Sarukkai,
Kayvon Fatahalian
(Stanford University),
Ioannis Karamouzas
(University of California, Riverside),
Victor Zordan
(Roblox / Clemson University),
C. Karen Liu
(Stanford University)
Neural Fields and Surface Reconstruction
- Low-Rank Adaptation of Neural Fields
(SIG)

-
Anh Truong,
Ahmed H. Mahmoud,
Mina Konakovic Lukovic,
Justin Solomon
(Massachusetts Institute of Technology)
- Spectral Prefiltering of Neural Fields
(SIG)

-
Mustafa B. Yaldiz,
Ishit Mehta,
Nithin Raghavan
(University of California San Diego),
Andreas Meuleman
(Inria, Universite Cote d'Azur),
Tzu-Mao Li,
Ravi Ramamoorthi
(University of California San Diego)
- Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes
(SIG/TOG)

-
Christian Stippel
(TU Wien),
Felix Mujkanovic,
Thomas Leimkuhler
(Max-Planck-Institute for Informatics),
Pedro Hermosilla
(TU Wien)
- SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction
(SIG)

-
Lukas Radl,
Felix Windisch
(Graz University of Technology),
Thomas Deixelberger,
Jozef Hladky
(Huawei Technologies),
Michael Steiner
(Graz University of Technology),
Dieter Schmalstieg
(Graz University of Technology and University of Stuttgart, Stuttgart),
Markus Steinberger
(Graz University of Technology and Huawei Technologies)
- MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
(SIG/TOG)

-
Antoine Guedon*,
Diego Gomez*
(Ecole polytechnique),
Nissim Maruani
(Inria, Universite Cote d'Azur),
Bingchen Gong
(Ecole polytechnique),
George Drettakis
(Inria, Universite Cote d'Azur),
Maks Ovsjanikov
(Ecole polytechnique)
* Both authors contributed equally to the paper.
- RaRa Clipper: A Clipper for Gaussian Splatting Based on Ray Tracer and Rasterizer
(SIG)

-
Da Li,
Donggang Jia,
Yousef Rajeh,
Dominik Engel,
Ivan Viola
(King Abdullah University of Science and Technology)
Vector Graphics & Sketches
- Capturing Non-Linear Human Perspective in Line Drawings
(SIG)

-
Jinfan Yang,
Leo Foord-Kelcey,
Suzuran Takikawa
(University of British Columbia),
Nicholas Vining
(NVIDIA),
Niloy Mitra
(University College London and Adobe Research),
Alla Sheffer
(University of British Columbia)
- AutoSketch: VLM-assisted Style-Aware Vector Sketch Completion
(SIG)
-
Hsiao-Yuan Chin*
(National Taiwan University),
I-Chao Shen*
(The University of Tokyo),
Yi-Ting Chiu
(National Taiwan University),
Ariel Shamir
(Reichman University),
Bing-Yu Chen
(National Taiwan University)
* Equal contribution
- KISSColor: Kinetic and Intuitive Stroke Stretching for Vector Drawing Colorization
(SIG/TOG)

-
Yiming Dong,
Hongxu Xin
(Shandong University),
Zhiyang Dou,
Rui Xu
(The University of Hong Kong),
Yuan Liu
(HKUST),
Shuangmin Chen
(Qingdao University of Science and Technology),
Shiqing Xin,
Changhe Tu
(Shandong University),
Taku Komura
(The University of Hong Kong),
Wenping Wang
(Texas A&M University)
- LayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization
(SIG)

-
Ronghuan Wu
(City University of Hong Kong),
Wanchao Su
(Monash University),
Jing Liao
(City University of Hong Kong)
- Neural Image abstraction using long smoothing B-splines
(SIG/TOG)

-
Daniel Berio
(Goldsmiths, University of London),
Michael Stroh
(University of Konstanz),
Sylvain Calinon
(Idiap Research Institute),
Frederic Fol Leymarie
(Goldsmiths, University of London),
Oliver Deussen
(University of Konstanz),
Ariel Shamir
(Reichman University )
- UTDesign: A Unified Framework for Stylized Text Editing and Generation in Graphic Design Images
(SIG)

-
Yiming Zhao,
Yuanpeng Gao,
Yuxuan Luo
(Wangxuan Institute of Computer Technology, Peking University),
Jiwei Duan,
Shisong Lin,
Longfei Xiong
(Kingsoft Office),
Zhouhui Lian
(Wangxuan Institute of Computer Technology, Peking University and State Key Laboratory of General Artificial Intelligence, Peking University)
Compositional and Layout-Guided Image Synthesis
- Object-level Visual Prompts for Compositional Image Generation
(SIG)

-
Gaurav Parmar
(Carnegie Mellon University),
Or Patashnik
(Tel Aviv University),
Kuan-Chieh Wang,
Daniil Ostashev
(Snap Inc.),
Srinivasa Narasimhan,
Jun-Yan Zhu
(Carnegie Mellon University),
Daniel Cohen-Or
(Tel Aviv University),
Kfir Aberman
(Snap Inc.)
- ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation
(SIG)

-
Guocheng Gordon Qian,
Daniil Ostashev,
Egor Nemchinov,
Avihay Assouline,
Sergey Tulyakov,
Kuan-Chieh Jackson Wang,
Kfir Aberman
(Snap Inc.)
- PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
(SIG)

-
Junyu Liu
(Brown University and EPFL),
R. Kenny Jones
(Brown University and Stanford University),
Daniel Ritchie
(Brown University)
- AGSwap: Overcoming Category Boundaries in Object Fusion via Adaptive Group Swapping
(SIG)

-
Zedong Zhang
(Nanjing University of Science and Technology),
Ying Tai
(Nanjing University),
Jianjun Qian,
Jian Yang,
Jun Li
(Nanjing University of Science and Technology)
- MALeR: Improving Compositional Fidelity in Layout-Guided Generation
(SIG/TOG)

-
Shivank Saxena,
Dhruv Srivastava,
Makarand Tapaswi
(IIIT Hyderabad)
Computational Design & Geometry
- One String to Pull Them All: Fast Assembly of Curved Structures from Flat Auxetic Linkages
(SIG/TOG)

-
Akib Zaman,
Jacqueline Aslarus,
Jiaji Li,
Stefanie Mueller,
Mina Konakovic Lukovic
(MIT CSAIL)
- Discovering Folding Lines for Surface Compression
(SIG)

-
Toshiki Aoki
(Massachusetts Institute of Technology),
Tomohiro Tachi
(The University of Tokyo),
Mina Konakovic Lukovic
(Massachusetts Institute of Technology)
- Reconfigurable Hinged Kirigami Tessellations
(SIG)

-
Aviv Segall,
Jing Ren,
Marcel Padilla,
Olga Sorkine-Hornung
(ETH Zurich)
- Snapping Deployable Toroids for Modular Gridshells
(SIG/TOG)

-
Felix Dellinger,
Martin Kilian
(TU Wien),
Munkyun Lee
(The University of Tokyo),
Christian Muller,
Georg Nawratil
(TU Wien),
Tomohiro Tachi
(The University of Tokyo),
Kiumars Sharifmoghaddam
(TU Wien)
- Closed-Form Construction of Voronoi Diagrams with Star-Shaped Metrics
(SIG/TOG)

-
Haoyang Zhou,
Logan Numerow,
Stelian Coros,
Bernhard Thomaszewski
(ETH Zurich)
- Star-Shaped Distance Voronoi Diagrams for 3D Metamaterial Design
(SIG)

-
Logan Numerow,
Stelian Coros,
Bernhard Thomaszewski
(ETH Zurich)
Hair & Faces
- Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering
(SIG/TOG)

-
Zhongtian Zheng,
Tao Huang,
Haozhe Su,
Xueqi Ma,
Yuefan Shen,
Tongtong Wang
(LightSpeed Studios),
Yin Yang
(University of Utah),
Xifeng Gao,
Zherong Pan,
Kui Wu
(LightSpeed Studios)
- Strands2Cards: Automatic Generation of Hair Cards from Strands
(SIG/TOG)

-
Kenji Tojo
(The University of Tokyo),
Liwen Hu
(Pinscreen),
Nobuyuki Umetani
(The University of Tokyo),
Hao Li
(Pinscreen and MBZUAI)
- Shaping Strands with Neural Style Transfer
(SIG/TOG)

-
Beyzanur Coban
(ETH Zurich),
Pascal Chang,
Guilherme G. Haetinger
(ETH Zurich and DisneyResearch|Studios),
Jingwei Tang,
Vinicius Azevedo
(DisneyResearch|Studios)
- CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling
(SIG)

-
Yuze He
(Tsinghua University and Tencent AIPD),
Yanning Zhou
(Tencent AIPD),
Wang Zhao
(Tsinghua University),
Jingwen Ye
(Tencent AIPD),
Yushi Bai
(Tsinghua University),
Kaiwen Xiao
(Tencent AIPD),
Yong-Jin Liu
(Tsinghua University),
Zhongqian Sun,
Wei Yang
(Tencent AIPD)
- Single-Shot Facial Capture using Polarized RGB Sinusoidal Illumination
(SIG)

-
Arvin Lin
(Imperial College London and Lumirithmic),
Abhijeet Ghosh
(Imperial College London)
- 3DPR: Single Image 3D Portrait Relighting with Generative Priors
(SIG)

-
Pramod Rao
(Max Planck Institute for Informatics / VIA Research Center / Saarland Informatics Campus),
Abhimitra Meka
(Google Inc.),
Xilong Zhou,
Gereon Fox,
Mallikarjun B R,
Fangneng Zhan
(Max Planck Institute for Informatics),
Tim Weyrich
(Friedrich-Alexander-Universitat Erlangen-Nurnberg),
Bernd Bickel
(ETH Zurich),
Hanspeter Pfister
(Harvard University),
Wojciech Matusik
(MIT CSAIL),
Thabo Beeler
(Google Inc.),
Mohamed Elgharib,
Marc Habermann
(Max Planck Institute for Informatics),
Christian Theobalt
(Max Planck Institute for Informatics and VIA Research Center)
Differentiable Physics and Fabrication-Aware Optimization
- Computational Modeling and Design of Capacitive Stretch Sensors
(SIG/TOG)

-
Arvi Gjoka
(New York University),
Yongkang Sun
(New York University and Stony Brook University),
Roi Poranne
(University of Haifa),
Daniele Panozzo
(New York University)
- Designing and Fabricating Color BRDFs with Differentiable Wave Optics
(SIG/TOG)
-
Yixin Zeng
(Zhejiang University),
Kiseok Choi
(KAIST),
Hadi Amata
(King Abdullah University of Science and Technology),
Kaizhang Kang
(Zhejiang University),
Wolfgang Heidrich
(King Abdullah University of Science and Technology),
Hongzhi Wu
(Zhejiang University),
Min H. Kim
(KAIST)
- Acoustic Reliefs
(SIG/TOG)

-
Jeremy Chew,
Michal Piovarci
(ETH Zurich),
Kangrui Xue,
Doug L. James
(Stanford University),
Bernd Bickel
(ETH Zurich)
- PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models
(SIG)

-
Xiao Sean Zhan,
Clement Jambon,
Evan Thompson
(MIT CSAIL),
Kenney Ng
(MIT-IBM Watson AI Lab),
Mina Konakovic Lukovic
(MIT CSAIL)
- Large-Area Fabrication-Aware Computational Diffractive Optics
(SIG/TOG)
-
Kaixuan Wei,
Hector A. Jimenez-Romero,
Hadi Amata
(King Abdullah University of Science and Technology),
Jipeng Sun
(Princeton University),
Qiang Fu
(King Abdullah University of Science and Technology),
Felix Heide
(Princeton University),
Wolfgang Heidrich
(King Abdullah University of Science and Technology)
Generative Scenes & Panoramas
- VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Models
(SIG)

-
Geonung Kim,
Janghyeok Han,
Sunghyun Cho
(POSTECH)
- SS4D: Native 4D Generative Model via Structured Spacetime Latents
(SIG/TOG)

-
Zhibing Li
(The Chinese University of Hong Kong),
Mengchen Zhang
(Shanghai Artificial Intelligence Laboratory and Zhejiang University)),
Tong Wu
(Stanford University),
Jing Tan
(The Chinese University of Hong Kong),
Jiaqi Wang
(Shanghai Artificial Intelligence Laboratory),
Dahua Lin
(The Chinese University of Hong Kong)
- Generating 360° Video is What You Need For a 3D Scene
(SIG)

-
Zhaoyang Zhang
(Yale University / Adobe Research),
Yannick Hold-Geoffroy,
Milos Hasan
(Adobe Research),
Ziwen Chen
(Oregon State University),
Fujun Luan
(Adobe Research),
Julie Dorsey
(Yale University),
Yiwei Hu
(Adobe Research)
- PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion
(SIG)

-
Avinash Paliwal
(Texas A&M University),
Xilong Zhou
(Texas A&M University and Max Planck Institute for Informatics),
Andrii Tsarov
(Leia Inc.),
Nima Khademi Kalantari
(Texas A&M University)
- WorldExplorer: Towards Generating Fully Navigable 3D Scenes
(SIG)

-
Manuel-Andreas Schneider*,
Lukas Hollein*,
Matthias Niessner
(Technical University of Munich)
*equal contribution
- Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
(SIG/TOG)

-
Tianyu Huang
(Harbin Institute of Technology),
Wangguandong Zheng,
Tengfei Wang
(Tencent),
Yuhao Liu
(City University of Hong Kong),
Zhenwei Wang,
Junta Wu,
Jie Jiang
(Tencent),
Hui Li
(Harbin Institute of Technology),
Rynson Lau
(City University of Hong Kong),
Wangmeng Zuo
(Harbin Institute of Technology),
Chunchao Guo
(Tencent)
Human & Robot Animation & Behavior
- Social Agent: Mastering Dyadic Nonverbal Behavior Generation via Conversational LLM Agents
(SIG)

-
Zeyi Zhang,
Yanju Zhou,
Heyuan Yao,
Tenglong Ao
(Peking University),
Xiaohang Zhan
(Tencent),
Libin Liu
(Peking University)
- How Does a Virtual Agent Decide Where to Look? Symbolic Cognitive Reasoning for Embodied Head Rotation
(SIG)

-
Juyeong Hwang,
Seong-Eun Hong
(Korea University),
JaeYoung Seon
(Kyung Hee University),
Hyeongyeop Kang
(Korea University)
- Echo: Enhancing Conversational Behavior Generation via Hierarchical Semantic Comprehension with Large Language Models
(SIG)

-
Haiwei Xue
(Tsinghua University),
Yanbo Fan
(Nanjing University),
Xuan Wang
(Ant Group),
Zhiyong Wu
(Tsinghua University)
- SymBridge: A Human-in-the-Loop Cyber-Physical Interactive System for Adaptive Human-Robot Symbiosis
(SIG)

-
Haoran Chen
(Shandong University),
Yiteng Xu,
Yiming Ren,
Yaoqin Ye
(Shanghai Tech University),
Xinran Li,
Ning Ding,
Yuxuan Wu,
Yaoze Liu
(Shandong University),
Peishan Cong,
Ziyi Wang,
Bushi Liu,
Yuhan Chen
(Shanghai Tech University),
Zhiyang Dou
(The University of Hong Kong and University of Pennsylvania),
Xiaokun Leng
(Leju Robotics),
Manyi Li
(Shandong University),
Yuexin Ma
(Shanghai Tech University),
Changhe Tu
(Shandong University),
- Unifying Latent Action and Latent State Pre-training for Policy Learning from Videos
(SIG)

-
Guangyan Chen,
Meiling Wang,
Te Cui,
Luojie Yang,
Qi Shao
(Beijing Institute of Technology),
Lin Zhao,
Tianle Zhang,
Yihang Li
(JD),
Yi Yang,
Yufeng Yue
(Beijing Institute of Technology)
- JoruriPuppet: Learning Tempo-Changing Mechanisms Beyond the Beat for Music-to-Motion Generation with Expressive Metrics
(SIG)

-
Ran Dong
(Chukyo University),
Shaowen Ni
(Mie University),
Xi Yang
(Jilin University)
4D & Dynamic Scene Generation and Reconstruction
- PAD3R: Pose-Aware Dynamic 3D Reconstruction from Casual Videos
(SIG)

-
Ting-Hsuan Liao,
Haowen Liu,
Yiran Xu,
Songwei Ge,
Gengshan Yang,
Jia-Bin Huang
(University of Maryland College Park)
- Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture
(SIG/TOG)

-
Julien Philip*,
Li Ma*,
Pascal Clausen*,
Wenqi Xian*
Ahmet Levent Tasel,
Mingming He,
Xueming Yu,
David M. George,
Ning Yu,
Oliver Pilarski,
Paul Debevec
(Eyeline Labs)
* These authors made equal technical contributions.
- GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes
(SIG)

-
Guo Chen
(Beijing Normal University),
Jiarun Liu
(Unmanned Vehicle Dept., Cainiao, Alibaba and State Key Lab of CAD and CG, Zhejiang University),
Sicong Du
(Unmanned Vehicle Dept., Cainiao, Alibaba),
Chenming Wu
(Baidu),
Deqi Li,
Shi-Sheng Huang
(Beijing Normal University),
Guofeng Zhang
(State Key Lab of CAD and CG, Zhejiang University),
Sheng Yang
(Unmanned Vehicle Dept., Cainiao, Alibaba)
- Neural Hamiltonian Deformation Fields for Dynamic Scene Rendering
(SIG)

-
Hai-Long Qin
(Beijing University of Posts and Telecommunications),
Sixian Wang,
Guo Lu
(Shanghai Jiao Tong University),
Jincheng Dai
(Beijing University of Posts and Telecommunications)
- MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars
(SIG)

-
Felix Taubner
(University of Toronto and Vector Institute),
Ruihang Zhang
(University of Toronto),
Mathieu Tuli
(LG Electronics),
Sherwin Bahmani,
David B. Lindell
(University of Toronto and Vector Institute)
- MV-Performer: Taming Video Diffusion Model for Faithful and Synchronized Multi-view Performer Synthesis
(SIG)

-
Yihao Zhi
(SSE, CUHKSZ),
Chenghong Li
(FNii-Shenzhen and SSE, CUHKSZ),
Hongjie Liao,
Xihe Yang,
Zhengwentai Sun,
Jiahao Chang
(SSE, CUHKSZ),
Xiaodong Cun
(Great Bay University),
Wensen Feng
(Shenzhen University),
Xiaoguang Han
(SSE, CUHKSZ / FNii-Shenzhen / Guangdong Provincial Key Laboratory of Future Networks of Intelligence)
Advanced Light Transport & PDE Solvers
- Jump Restore Light Transport
(SIG/TOG)

-
Sascha Holl
(MPI Informatik),
Gurprit Singh
(Advanced Micro Devices, Inc.),
Hans-Peter Seidel
(MPI Informatik)
- Gaussian Integral Linear Operators for Precomputed Graphics
(SIG/TOG)

-
Haolin Lu
(MPI Informatik),
Yash Belhe
(University of California San Diego),
Gurprit Singh
(MPI Informatik),
Tzu-Mao Li
(University of California San Diego),
Toshiya Hachisuka
(University of Waterloo)
- Harmonic caching for walk on spheres
(SIG/TOG)

-
Zihong Zhou
(Dartmouth College),
Eugene d'Eon,
Rohan Sawhney
(NVIDIA),
Wojciech Jarosz
(Dartmouth College)
- Robust Derivative Estimation with Walk on Stars
(SIG/TOG)

-
Zihan Yu
(University of California, Irvine),
Rohan Sawhney
(NVIDIA),
Bailey Miller
(Carnegie Mellon University),
Lifan Wu
(NVIDIA),
Shuang Zhao
(University of Illinois Urbana-Champaign)
- Off-Centered WoS-Type Solvers with Statistical Weighting
(SIG)

-
Anchang Bao
(School of Software, Tsinghua University),
Enya Shen
(School of Software, Tsinghua University and Haihe Lab of ITAI),
Jianmin Wang
(School of Software, Tsinghua University)
- An Adjoint Method for Differentiable Fluid Simulation on Flow Maps
(SIG)

-
Zhiqi Li*,
Jinjin He*,
Barnabas Borcsok
(Georgia Institute of Technology),
Taiyuan Zhang
(Dartmouth College),
Duowen Chen
(Georgia Institute of Technology),
Tao Du
(Independent Researcher),
Ming Lin
(University of Maryland),
Greg Turk,
Bo Zhu
(Georgia Institute of Technology)
* co-first author
Efficient and Robust Algorithms for Geometric Computing
- BSP-OT: Sparse transport plans between discrete measures in loglinear time
(SIG/TOG)
-
Baptiste Genest
(Universite Claude Bernard Lyon 1, CNRS, INSA Lyon),
Nicolas Bonneel
(CNRS, Universite Claude Bernard Lyon 1, INSA Lyon),
Vincent Nivoliers
(Universite Claude Bernard Lyon 1, CNRS, INSA Lyon),
David Coeurjolly
(CNRS, Universite Claude Bernard Lyon 1, INSA Lyon)
- Efficient and Scalable Spatial Regularization of Optimal Transport
(SIG)

-
Lucas Brifault
(Inria Saclay),
David Cohen-Steiner
(INRIA Sophia Antipolis),
Mathieu Desbrun
(Inria Saclay and Ecole Polytechnique)
- Medial Sphere Preconditioning for Knot Untangling and Volume-Filling Curves
(SIG)

-
Yuta Noma,
Karan Singh
(University of Toronto),
Alec Jacobson
(University of Toronto and Adobe Research)
- CrossGen: Learning and Generating Cross Fields for Quad Meshing
(SIG/TOG)
-
Qiujie Dong*
(The University of Hong Kong and Shandong University),
Jiepeng Wang*,
Rui Xu
(The University of Hong Kong),
Cheng Lin
(Macau University of Science and Technology),
Yuan Liu
(Hong Kong University of Science and Technology),
Shiqing Xin
(Shandong University),
Zichun Zhong
(Wayne State University),
Xin Li
(Texas A&M University),
Changhe Tu
(Shandong University),
Taku Komura
(The University of Hong Kong),
Leif Kobbelt
(RWTH Aachen University),
Scott Schaefer,
Wenping Wang
(Texas A&M University)
* Equal contribution
- Sums of Wedges: Conforming Weighted Delaunay Triangulations are Polynomial in Fixed Dimension
(SIG/TOG)

-
Dimitrios Bogiokas,
Ugo Finnendahl,
Thorsten Seidelmann,
Marc Alexa
(Technical University of Berlin)
- Lifted Surfacing of Generalized Sweep Volumes
(SIG/TOG)

-
Yiwen Ju
(Washington University in Saint Louis),
Qingnan Zhou
(Adobe Research),
Xingyi Du
(Tencent),
Nathan Carr
(Adobe Research),
Tao Ju
(Washington University in Saint Louis)
3D Reconstruction & View Synthesis
- RemixFusion: Residual-based Mixed Representation for Large-scale Online RGB-D Reconstruction
(TOG)

-
Yuqing Lan*,
Chenyang Zhu*,
Shuaifeng Zhi
(National University of Defense Technology),
Jiazhao Zhang
(Peking University),
Zhoufeng Wang,
Renjiao Yi,
Yijie Wang,
Kai Xu
(National University of Defense Technology)
* Joint First Authors
- Convection Augmented Gauss Reconstruction for Unoriented Point Clouds
(SIG/TOG)

-
Yueji Ma
(Department of Mathematical Sciences, Tsinghua University and Yau Mathematical Sciences Center, Tsinghua University),
Dong Xiao
(School of Mathematical Sciences, University of Science and Technology of China),
Zuoqiang Shi
(Yau Mathematical Sciences Center, Tsinghua University and Yanqi Lake Beijing Institute of Mathematical Sciences and Applications),
Bin Wang
(School of Software, Tsinghua University)
- AD-GS: Alternating Densification for Sparse-Input 3D Gaussian Splatting
(SIG)

-
Gurutva Patle,
Nilay Girgaonkar,
Nagabhushan Somraj,
Rajiv Soundararajan
(Indian Institute of Science)
- Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images
(SIG)

-
Jiatong Xia,
Lingqiao Liu
(The University of Adelaide)
- MODepth: Benchmarking Mobile Multi-frame Monocular Depth Estimation with Optical Image Stabilization
(SIG)

-
Yu Lu
(Shanghai Jiao Tong University),
Hao Pan
(Microsoft Research Asia and Shanghai Jiao Tong University),
Dian Ding,
Jiatong Ding
(Shanghai Jiao Tong University),
Yongjian Fu
(Central South University),
Yi-Chao Chen
(Shanghai Jiao Tong University),
Ju Ren
(Tsinghua University),
Guangtao Xue
(Shanghai Jiao Tong University)
Animating Images, Sketches and Text
- From Rigging to Waving: 3D-Guided Diffusion for Natural Animation of Hand-Drawn Characters
(SIG/TOG)

-
Jie Zhou*,
Linzi Qu*,
Miu-Ling Lam
(City University of Hong Kong),
Hongbo Fu
(Hong Kong University of Science and Technology)
* Equal Contributions
- Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction
(SIG)

-
Li Wang,
Yiyu Zhuang,
Yanwen Wang,
Xun Cao
(Nanjing University),
Chuan Guo
(Snap Research),
Xinxin Zuo
(Concordia University),
Hao Zhu
(Nanjing University)
- AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models
(SIG)

-
Zehuan Huang
(School of Software, Beihang University),
Haoran Feng
(Tsinghua University),
Yang-Tian Sun
(The University of Hong Kong),
Yuan-Chen Guo,
Yan-Pei Cao
(VAST),
Lu Sheng
(School of Software, Beihang University)
- Animus3D: Text-driven 3D Animation via Motion Score Distillation
(SIG)

-
Qi Sun,
Can Wang
(City University of Hong Kong),
Jiaxiang Shang,
Wensen Feng
(Central Media Technology Institute, Huawei),
Jing Liao
(City University of Hong Kong)
- X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents
(SIG)

-
Guoxian Song,
Hongyi Xu,
Xiaochen Zhao,
You Xie,
Tianpei Gu,
Zenan Li,
Chenxu Zhang,
Linjie Luo
(ByteDance Inc)
- FairyGen: Storied Cartoon Video from a Single Child-Drawn Character
(SIG)

-
Jiayi Zheng,
Xiaodong Cun
(Great Bay University)
Real-Time Rendering & System Optimization
- Evaluating and Sampling Glinty NDFs in Constant Time
(SIG/TOG)

-
Pauli Kemppinen
(Adobe Research / Aalto University),
Lois Paulin
Theo Thonat
Jean-Marc Thiery
(Adobe Research),
Jaakko Lehtinen
(NVIDIA / Aalto University),
Tamy Boubekeur
(Adobe Research)
- 3D SMoE Splatting for Edge-aware Realtime Radiance Field Rendering
(SIG)

-
Yi-Hsin Li
(Mid Sweden University and Technische Universitat Berlin),
Thomas Sikora
(Technische Universitat Berlin),
Sebastian Knorr
(Hochschule fur Technik und Wirtschaft Berlin),
Marten Sjostrom
(Mid Sweden University)
- AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
(SIG/TOG)

-
Lihan Jiang*
(The University of Science and Technology of China and Shanghai Artificial Intelligence Laboratory),
Yucheng Mao*
(Shanghai Artificial Intelligence Laboratory),
Linning Xu
(The Chinese University of Hong Kong),
Tao Lu
(Brown University),
Kerui Ren
(Shanghai Artificial Intelligence Laboratory and Shanghai Jiao Tong University),
Yichen Jin,
Xudong Xu,
Mulin Yu,
Jiangmiao Pang
(Shanghai Artificial Intelligence Laboratory),
Feng Zhao
(The University of Science and Technology of China),
Dahua Lin
(The Chinese University of Hong Kong),
Bo Dai
(The University of Hong Kong)
* Denotes Equal Contribution
- PowerGS: Display-Rendering Power Co-Optimization for Neural Rendering in Power-Constrained XR Systems
(SIG)

-
Weikai Lin
(University of Rochester),
Sushant Kondguli,
Carl Marshall
(Reality Labs Research, Meta),
Yuhao Zhu
(University of Rochester)
- Sparse Cache Updates for Scalable Distributed Effect-Based Rendering
(SIG)

-
Wolfgang Tatzgern,
Pascal Stadlbauer
(Graz University of Technology),
Joerg H. Mueller,
Martin Winter,
Martin Sattlecker
(Huawei Technologies),
Markus Steinberger
(Graz University of Technology and Huawei Technologies)
- StereoFG: Generating Stereo Frames from Centered Feature Stream
(SIG)

-
Chenyu Zuo
(State Key Lab of CAD and CG, Zhejiang University),
Yazhen Yuan
(Tencent),
Zhizhen Wu,
Zhijian Liu,
Jingzhen Lan
(State Key Lab of CAD and CG, Zhejiang University),
Ming Fu
(Huawei),
Yuchi Huo
(State Key Lab of CAD and CG, Zhejiang University and Zhejiang Lab),
Rui Wang
(State Key Lab of CAD and CG, Zhejiang University)
Cameras, Sensors, and Acquisition
- Fovea Stacking: Imaging with Dynamic Localized Aberration Correction
(SIG/TOG)
-
Shi Mao,
Yogeshwar Nath Mishra,
Wolfgang Heidrich
(King Abdullah University of Science and Technology)
- Underwater Optical Backscatter Communications using Acousto-Optic Beam Steering
(SIG/TOG)

-
Atul Rohit Agarwal*,
Dhawal Sirikonda*,
Atharv Agashe
(Dartmouth College),
Ziang Ren
(Columbia University),
Dinithi S. Silva
(Dartmouth College),
Charles J. Carver
(Columbia University),
Alberto Quattrini Li
(Dartmouth College),
Xia Zhou
(Columbia University),
Adithya Pediredla
(Dartmouth College)
* Equal contribution
- Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Light
(SIG)

-
Tzofi Klinghoffer,
Siddharth Somasundaram
(Massachusetts Institute of Technology),
Xiaoyu Xiang,
Yuchen Fan,
Christian Richardt
(Meta),
Akshat Dave,
Ramesh Raskar
(Massachusetts Institute of Technology),
Rakesh Ranjan
(Meta)
- Robust Single-shot Structured Light 3D Imaging via Neural Feature Decoding
(SIG)

-
Jiaheng Li*
(Wangxuan Institute of Computer Technology, Peking University),
Qiyu Dai*
(School of Intelligence Science and Technology, Peking University),
Lihan Li
(Yuanpei College, Peking University),
Praneeth Chakravarthula
(University of North Carolina at Chapel Hill),
He Sun
(College of Future Technology, Peking University),
Baoquan Chen
(School of Intelligence Science and Technology, Peking University),
Wenzheng Chen
(Wangxuan Institute of Computer Technology, Peking University)
* equal contributions
- Transient LASSO: Transient Large-Scale Scene Reconstruction
(SIG)

-
Dominik Scheuble,
Andrea Ramazzina
(Mercedes-Benz AG and Technical University of Munich),
Hanno Holzhuter
(Microvision Inc. and Leibniz University Hannover),
Stefano Gasperini
(Technical University of Munich andMunich Center for Machine Learning),
Steven Peters
(Technical University of Munich),
Federico Tombari
(Technical University of Munich and Google),
Mario Bijelic,
Felix Heide
(Princeton University and Torc Robotics)
- LookUp3D: Data-Driven 3D Scanning
(SIG)

-
Giancarlo Pereira*,
Yidan Gao*,
Yurii Piadyk,
David Fouhey,
Claudio T. Silva,
Daniele Panozzo
(New York University)
* Joint authors with equal contribution
Generative 3D Modeling
- Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
(SIG/TOG)

-
Xiaoming Zhu*
(Tsinghua University),
Xu Huang*
(Tencent),
Qinghongbing Xie
(Tsinghua University),
Zhi Deng
(Tencent),
Junsheng Yu
(Southeast University),
Yirui Guan,
Zhongyuan Liu,
Lin Zhu,
Qijun Zhao
(Tencent),
Ligang Liu
(University of Science and Technology of China),
Long Zeng
(Tsinghua University)
* Equal contribution
- Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search
(SIG)

-
Maxim Gumin,
Do Heon Han,
Seung Jean Yoo,
Aditya Ganeshan,
R. Kenny Jones,
Kailiang Fu
(Brown University),
Rio Aguina-Kang
(UC San Diego),
Stewart Morris,
Daniel Ritchie
(Brown University)
- Hierarchical Neural Semantic Representation for 3D Semantic Correspondence
(SIG)
-
Keyu Du*
(University of Electronic Science and Technology of China),
Jingyu Hu*
(CUHK),
Haipeng Li
(University of Electronic Science and Technology of China),
Hao Xu
(CUHK),
Haibing Huang
(TeleAI),
Chi-Wing Fu
(CUHK),
Shuaicheng Liu
(University of Electronic Science and Technology of China)
* Both authors contributed equally to the paper
- StyleSculptor: Zero-Shot Style-Controllable 3D Asset Generation with Texture-Geometry Dual Guidance
(SIG)

-
Zefan Qu,
Zhenwei Wang,
Haoyuan Wang,
Ke Xu,
Gerhard Hancke,
Rynson W.H. Lau
(City University of Hong Kong)
- Fuse3D: Generating 3D Assets Controlled by Multi-Image Fusion
(SIG)

-
Xuancheng Jin, Rengan Xie, Wenting Zheng,
Rui Wang,
Hujun Bao
(State Key Lab of CAD and CG, Zhejiang University),
Yuchi Huo
(State Key Lab of CAD and CG, Zhejiang University and Zhejiang Lab)
- In-2-4D: Inbetweening from Two Single-View Images to 4D Generation
(SIG)

-
Sauradip Nag
(Simon Fraser University),
Daniel Cohen-Or
(Tel Aviv University),
Hao (Richard) Zhang,
Ali Mahdavi-Amiri
(Simon Fraser University)
Motion Transfer & Control
- Motion2Motion: Cross-topology Motion Retargeting with Sparse Correspondence
(SIG/TOG)

-
Ling-Hao Chen
(Tsinghua University and IDEA Research),
Yuhong Zhang
(Tsinghua University),
Zixin Yin
(HKUST),
Zhiyang Dou
(The University of Hong Kong),
Xin Chen
(ByteDance),
Jingbo Wang
(Shanghai AI Lab),
Taku Komura
(The University of Hong Kong),
Lei Zhang
(IDEA Research)
- Ultrafast and Controllable Online Motion Retargeting for Game Scenarios
(SIG/TOG)

-
Tianze Guo
(State Key Lab of CAD and CG, Zhejiang University),
Zhedong Chen
(Zhejiang University),
Yi Jiang,
Linjun Wu
(State Key Lab of CAD and CG, Zhejiang University),
Xilei Wei, Lang Xu, Yeshuang Lin
(MoreFun Studios, Tencent),
He Wang
(University College London),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University)
- SMF: Template-free and Rig-free Animation Transfer using Kinetic Codes
(SIG/TOG)
-
Sanjeev Muralikrishnan*,
Niladri Shekhar Dutt*
(University College London),
Niloy Mitra
(University College London and Adobe Research)
* Equal contribution
- PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction
(SIG)

-
Qiao Feng,
Yiming Huang,
Yufu Wang,
Jiatao Gu,
Lingjie Liu
(University of Pennsylvania)
- Generating Detailed Character Motion from Blocking Poses
(SIG)

-
Purvi Goel,
Guy Tevet,
C. Karen Liu,
Kayvon Fatahalian
(Stanford University)
- MaskedManipulator: Versatile Whole-Body Manipulation
(SIG)

-
Chen Tessler
(NVIDIA Research),
Yifeng Jiang,
Erwin Coumans
(NVIDIA),
Zhengyi Luo
(NVIDIA Research),
Xue Bin Peng
(NVIDIA),
Gal Chechik
(NVIDIA Research)
Advanced Fluid and Multiphase Simulation
- The Granule-In-Cell Method for Simulating Sand-Water Mixtures
(SIG/TOG)

-
Yizao Tang
(School of Electronics Engineering and Computer Science, Peking University),
Yuechen Zhu
(State Key Laboratory of General Artificial Intelligence, Peking University),
Xingyu Ni
(School of Computer Science, Peking University),
Baoquan Chen
(State Key Laboratory of General Artificial Intelligence, Peking University)
- Kinetic Free-Surface Flows and Foams with Sharp Interfaces
(SIG/TOG)

-
Haoxiang Wang
(Tsinghua University),
Kui Wu
(LightSpeed Studios),
Hui Qiao
(Tsinghua University),
Mattieu Desbrun
(Inria / Ecole Polytechnique),
Wei Li
(LightSpeed Studios / Shanghai Jiao Tong University )
- Implicit Incompressible Porous Flow using SPH
(SIG/TOG)

-
Timna Bottcher,
Lukas Westhofen,
Stefan Rhys Jeske,
Jan Bender
(RWTH Aachen University)
- Fire-X: Extinguishing Fire with Stoichiometric Heat Release
(SIG/TOG)
-
Helge Wrede,
Anton Wagner,
Sarker Miraz Mahfuz
(Kiel University),
Wojtek Palubicki
(Adam Mickiewicz University),
Dominik L. Michels
(KAUST),
Soren Pirk
(Kiel University)
- Multiphase Particle-Based Simulation of Poro-Elasto-Capillary Effects
(SIG)

-
Ruolan Li
(University of Science and Technology Beijing),
Yanrui Xu
(Tsinghua University),
Yalan Zhang
(University of Science and Technology Beijing),
Jiri Kosinka
(University of Groningen),
Alexandru C. Telea
(Utrecht University),
Jian Chang,
Jian Jun Zhang
(Bournemouth University),
Xiaojuan Ban,
Xiaokun Wang
(University of Science and Technology Beijing)
- Wavelet Fluids
(SIG/TOG)

-
Luan Lyu
(Guangdong University of Technology),
Xiaohua Ren
(WeChat Vision, Tencent Inc.),
Wei Cao
(Qingdao University),
Jian Zhu
(Guangdong University of Technology),
Ziyang Ma
(WeChat Vision, Tencent Inc.),
Enhua Wu
(SKLCS, Institute of Software, Chinese Academy of Sciences)
Material & Reflectance Modeling
- Diffusion-Guided Relighting for Single-Image SVBRDF Estimation
(SIG)

-
Youxin Xing
(Shandong University),
Zheng Zeng
(University of California, Santa Barbara),
Youyang Du,
Lu Wang
(Shandong University),
Beibei Wang
(Nanjing University)
- EBREnv: SVBRDF Estimation in Uncontrolled Environment Lighting via Exemplar-Based Representation
(SIG)

-
Li Wang,
Jiajun Zhao,
Lianghao Zhang,
Fangzhou Gao,
Jiawan Zhang
(Tianjin University)
- Sparse SVBRDF Acquisition via Importance-Aware Illumination Multiplexing
(SIG/TOG)

-
Lianghao Zhang,
Zixuan Wang,
Li Wang,
Fangzhou Gao,
Ruya Sun,
Jiawan Zhang
(Tianjin University)
- Chord: Chain of Rendering Decomposition for PBR Material Estimation from Generated Texture Images
(SIG)

-
Zhi Ying*
(Ubisoft La Forge),
Boxiang Rong*,
Jingyu Wang
(ETH Zurich),
Maoyuan Xu
(Ubisoft La Forge)
* Equal Contribution
- AniTex: Light-Geometry Consistent PBR Material Generation for Animatable Objects
(SIG)

-
Jieting Xu,
Ziyi Xu
(State Key Lab of CAD and CG, Zhejiang University),
Guoyuan An
(Independent Contributor),
Yiwei Hu
(Adobe Research),
Rengan Xie,
Zhijian Liu,
Dianbing Xi
(State Key Lab of CAD and CG, Zhejiang University),
Wenjun Song
(Zhejiang University),
Rui Wang
(State Key Lab of CAD and CG, Zhejiang University),
Yuchi Huo
(State Key Lab of CAD and CG, Zhejiang University and Zhejiang Lab)
- Hyperspectral Polarimetric BRDFs of Real-world Materials
(SIG)

-
Yunseong Moon
(POSTECH),
Ryota Maeda
(POSTECH / University of Hyogo),
Suhyun Shin
(POSTECH),
Inseung Hwang
(KAIST),
Youngchan Kim
(POSTECH),
Min H. Kim
(KAIST)
Objects in Parts & Articulation
- FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion
(SIG)

-
Chuhao Chen,
Isabella Liu
(University of California San Diego),
Xinyue Wei,
Hao Su
(University of California San Diego and Hillbot Inc),
Minghua Liu
(Hillbot Inc)
- Generating Objects with Part-Articulation from a Single Image
(SIG)

-
Ruijie Lu
(State Key Lab of General AI, Peking University),
Yu Liu
(Tsinghua University),
Jiaxiang Tang
(State Key Lab of General AI, Peking University),
Junfeng Ni
(Tsinghua University),
Yuxiang Wang,
Diwen Wan
(State Key Lab of General AI, Peking University),
Gang Zeng,
Yixin Chen,
Siyuan Huang
(State Key Lab of General AI, Beijing Institute for General Artificial Intelligence)
- LARM: A Large Articulated Object Reconstruction Model
(SIG)

-
Sylvia Yuan,
Ruoxi Shi,
Xinyue Wei
(University of California San Diego),
Xiaoshuai Zhang
(Hillbot Inc.),
Hao Su
(University of California San Diego),
Minghua Liu
(Hillbot Inc.)
- ArtiLatent: Realistic Articulated 3D Object Generation via Structured Latents
(SIG)

-
Honghua Chen,
Yushi Lan,
Yongwei Chen,
Xingang Pan
(Nanyang Technological University)
- Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion
(SIG)

-
Wang Zhao
(ARC Lab, Tencent PCG),
Yan-Pei Cao
(VAST)
Jiale Xu
(ARC Lab, Tencent PCG),
Yuejiang Dong
(ARC Lab, Tencent PCG and Tsinghua University),
Ying Shan
(ARC Lab, Tencent PCG)
- LLM-Primitives: Large Language Model for 3D Reconstruction with Primitives
(SIG)

-
Kuan Tian,
Zhihao Hu,
Yonghang Guan,
Jun Zhang
(Tencent AIPD)
Text-to-Image & Customization
- ConsiStyle: Style Diversity in Training-Free Consistent T2I Generation
(SIG/TOG)

-
Yohai Mazuz*
(Tel Aviv University),
Janna Bruner
(Tel Aviv University and Amazon),
Lior Wolf
(Tel Aviv University)
* denotes equal contribution
- Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models
(SIG)

-
Armando Fortes,
Tianyi Wei,
Shangchen Zhou,
Xingang Pan
(S-Lab, Nanyang Technological University)
- PractiLight: Practical Light Control Using Foundational Diffusion Models
(SIG/TOG)

-
Yotam Erel
(Tel Aviv University),
Rishabh Dabral,
Vladislav Golyanik
(Max Planck Institute for Informatics),
Amit H. Bermano
(Tel Aviv University),
Christian Theobalt
(Max Planck Institute for Informatics)
- Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
(TOG)

-
Hadi AlZayer
(Adobe and University of Maryland),
Zhihao Xia,
Xuaner Zhang,
Eli Shechtman
(Adobe),
Jia-Bin Huang
(University of Maryland),
Michael Gharbi
(Adobe)
- Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA
(SIG)

-
Rameen Abdal,
Or Patashnik,
Ekaterina Deyneka,
Hao Chen,
Aliaksandr Siarohin,
Sergey Tulyakov
(Snap Inc.),
Daniel Cohen-Or
(Tel Aviv University),
Kfir Aberman
(Snap Inc.)
- B4M: Breaking Low-Rank Adapter for Making Content-Style Customization
(TOG)

-
Yu Xu
(Institute of Computing Technology, Chinese Academy of Sciences and University of the Chinese Academy of Sciences),
Fan Tang,
Juan Cao
(Institute of Computing Technology, Chinese Academy of Sciences),
Yuxin Zhang
(Institute of Automation, Chinese Academy of Sciences),
Oliver Deussen
(University of Konstanz),
Weiming Dong
(Institute of Automation, Chinese Academy of Sciences),
Jintao Li
(Institute of Computing Technology, Chinese Academy of Sciences),
Tong-Yee Lee
(National Cheng Kung University)
Expressive and Structured Gaussian Representations
- Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting
(SIG)

Joji Joseph,
Bharadwaj Amrutur,
Shalabh Bhatnagar
(Indian Institute of Science)
- Rigidity-Aware 3D Gaussian Deformation from a Single Image
(SIG)

-
Jinhyeok Kim,
Jaehun Bang,
Seunghyun Seo,
Kyungdon Joo
(Ulsan National Institute of Science and Technology)
- Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction
(SIG)

-
Yiming Wang,
Shaofei Wang,
Marko Mihajlovic,
Siyu Tang
(ETH Zurich)
- JumpingGS: Level-jump 3D Gaussian Representation for Delicate Textures in Aerial Large-scale Scene Rendering
(SIG/TOG)

-
Jiongming Qin
(Wuhan University),
Kaixuan Zhou
(Riemann Lab, Huawei Technologies),
Yu Jiang,
Huizhi Zhu,
Fei Luo,
Chunxia Xiao
(Wuhan University)
- TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
(SIG)

-
Zimu Liao
(Shanghai Jiao Tong University and Shanghai Artificial Intelligence Laboratory),
Jifeng Ding,
Siwei Cui
(Shanghai Artificial Intelligence Laboratory and Fudan University),
Ruixuan Gong
(Beijing Institute of Technology),
Boni Hu
(Shanghai Artificial Intelligence Laboratory and Northwestern Polytechnical University),
Yi Wang
(Shanghai Artificial Intelligence Laboratory),
Hengjie Li
(Shanghai Artificial Intelligence Laboratory and Shanghai Innovation Insititute),
Hui Wang,
Xingcheng Zhang,
Rong Fu
(Shanghai Artificial Intelligence Laboratory)
- DeMapGS: Simultaneous Mesh Deformation and Surface Attribute Mapping via Gaussian Splatting
(SIG)

-
Shuyi Zhou
(The University of Tokyo),
Shengze Zhong,
Kenshi Takayama,
Takafumi Taketomi
(CyberAgent),
Takeshi Oishi
(The University of Tokyo)
Generative Synthesis, Editing & Customization
- One-shot Embroidery Customization via Contrastive LoRA Modulation
(SIG/TOG)

-
Jun Ma
(Zhejiang Sci-Tech University / Style3D Research),
Qian He
(State Key Lab of CAD and CG, Zhejiang University / Style3D Research),
Gaofeng He,
Huang Chen
(Style3D Research),
Chen Liu
(State Key Lab of CAD and CG, Zhejiang University / Style3D Research),
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University),
Huamin Wang
(Style3D Research)
- Teamwork: Collaborative Diffusion with Low-rank Coordination and Adaptation
(SIG)

-
Sam Sartor,
Pieter Peers
(College of William & Mary)
- Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures
(SIG)

-
Yuancheng Xu,
Wenqi Xian,
Li Ma,
Julien Philip,
Ahmet Tasel
(Eyeline Labs),
Yiwei Zhao
(Netflix),
Ryan Burgert,
Mingming He,
Oliver Hermann,
Oliver Pilarski
(Eyeline Labs),
Rahul Garg
(Netflix),
Paul Debevec,
Ning Yu
(Eyeline Labs)
- Proteus-ID: ID-Consistent and Motion-Coherent Video Customization
(SIG)

-
Guiyu Zhang,
Chen Shi,
Zijian Jiang
(The Chinese University of Hong Kong),
Xunzhi Xiang
(Nanjing University),
Jingjing Qian
(The Chinese University of Hong Kong),
Shaoshuai Shi
(Voyager Research, Didi Chuxing),
Li Jiang
(The Chinese University of Hong Kong)
- DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning
(SIG)

-
Fulong Ye,
Miao Hua,
Pengze Zhang,
Xinghui Li,
Qichao Sun,
Songtao Zhao,
Qian He,
XingLong Wu
(ByteDance Intelligent Creation)
- HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling
(SIG)

-
Tobias Vontobel
(ETH Zurich),
Seyedmorteza Sadat
(ETH Zurich and Disney Research Studios),
Farnood Salehi,
Romann M. Weber
(Disney Research Studios)
Human Motion Synthesis & Interaction
- Physics-Based Motion Imitation with Adversarial Differential Discriminators
(SIG)

-
Ziyu Zhang*
(Simon Fraser University),
Sergey Bashkirov*
(Sony Playstation),
Dun Yang,
Yi Shi
(Simon Fraser University),
Michael Taylor
(Sony Playstation),
Xue Bin Peng
(Simon Fraser University and NVIDIA)
* Equal contribution
- Learning Human Motion with Temporally Conditional Mamba
(SIG)

-
Quang Nguyen,
Tri Le
(FPT Software AI Center),
Baoru Huang
(University of Liverpool and Imperial College London),
Minh Nhat Vu
(Vienna University of Technology),
Ngan Le
(University of Arkansas at Little Rock),
Thieu Vo
(National University of Singapore),
Anh Nguyen
(University of Liverpool)
- SRBTrack: Terrain-Adaptive Tracking of a Single-Rigid-Body Character Using Momentum-Mapped Space-Time Optimization
(SIG)

-
Hanyang Cao*
(Hanyang University),
Heyuan Yao*,
Libin Liu
(Peking University),
Taesoo Kwon
(Hanyang University)
* equal contribution
- Uni-Inter Unifying 3D Human Motion Synthesis Across Diverse Interaction Contexts
(SIG)

-
Sheng Liu
(Nanjing University),
Yuanzhi Liang,
Jiepeng Wang
(Institute of Artificial Intelligence, China Telecom (TeleAI)),
Sidan Du
(Nanjing University),
Chi Zhang,
Xuelong Li
(Institute of Artificial Intelligence, China Telecom (TeleAI))
- HOMA: Towards Generic Human-Object Interaction in Multimodal Driven Human Animation with Weak Conditions
(SIG)

-
Ziyao Huang
(University of Chinese Academy of Sciences),
Zixiang Zhou
(Tencent),
Juan Cao
(University of Chinese Academy of Sciences),
Yifeng Ma,
Yi Chen
(Tencent),
Zejing Rao
(University of Chinese Academy of Sciences),
Zhiyong Xu,
Hongmei Wang,
Qin Lin,
Yuan Zhou,
Qinglin Lu
(Tencent),
Fan Tang
(University of Chinese Academy of Sciences)
- CHOICE: Coordinated Human-Object Interaction in Cluttered Environments for Pick-and-Place Actions
(TOG)

-
Jintao Lu
(The University of Hong Kong),
He Zhang
(Tencent Robotics X),
Takaaki Shiratori,
Sebastian Starke
(Meta Reality Lab),
Taku Komura
(The University of Hong Kong)
Shape Abstraction and Structural Analysis
- RL-ACD: Reinforcement Learning-based Approximate Convex Decomposition
(SIG/TOG)

-
Yuzhe Luo
(State Key Lab of CAD and CG, Zhejiang University / LightSpeed Studios),
Zherong Pan,
Kui Wu,
Xingyi Du, Yun Zeng
(LightSpeed Studios),
Xiangjun Tang,
Yiqian Wu,
Xiaogang Jin
(State Key Lab of CAD and CG, Zhejiang University),
Xifeng Gao,
(LightSpeed Studios)
- ASIA: Adaptive 3D Segmentation using Few Image Annotations
(SIG)

-
Sai Raj Kishore Perla,
Aditya Vora,
Sauradip Nag,
Ali Mahdavi-Amiri,
Hao (Richard) Zhang
(Simon Fraser University)
- Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
(SIG)

-
Yuhan Wang
(Nanyang Technological University),
Weikai Chen,
Zeyu Hu,
Runze Zhang,
Yingda Yin,
Ruoyu Wu,
Keyang Luo,
Shengju Qian,
Yiyan Ma,
Hongyi Li,
Yuan Gao,
Yuhuan Zhou,
Hao Luo,
Wan Wang,
Xiaobin Shen,
Zhaowei Li,
Kuixin Zhu,
Chuanlang Hong,
Yueyue Wang,
Lijie Feng,
Xin Wang
(LIGHTSPEED)
Chen Change Loy
(Nanyang Technological University)
- MATStruct: High-quality Medial Mesh Computation via Structure-aware Variational Optimization
(SIG)

-
Ningna Wang
(University of Texas at Dallas),
Rui Xu
(The University of Hong Kong),
Yibo Yin
(Wuhan University),
Zichun Zhong
(Wayne State University),
Taku Komura
(The University of Hong Kong),
Wenping Wang
(Texas A&M University),
Xiaohu Guo
(University of Texas at Dallas)
- Temporally Smooth Mesh Extraction for Procedural Scenes with Long-Range Camera Trajectories using Spacetime Octrees
(SIG)

-
Zeyu Ma,
Adam Finkelstein,
Jia Deng
(Princeton University)
- Design for Descent: What Makes a Shape Grammar Easy to Optimize?
(SIG)

-
Milin Kodnongbua*,
Zihan Jack Zhang*
(University of Washington),
Nicholas Sharp
(NVIDIA),
Adriana Schulz
(University of Washington)
* Equal contribution
Advanced Representations and Rendering for 3D Scenes
- LVT: Large-Scale Scene Reconstruction via Local View Transformers
(SIG)

-
Tooba Imtiaz*
(Google and Northeastern University),
Lucy Chai*,
Kathryn Heal,
Xuan Luo,
Jungyeon Park
(Google),
Jennifer Dy
(Northeastern University),
John Flynn
(Google)
* Denotes Equal Contribution
- CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
(SIG)

-
Weihang Liu*
(ShanghaiTech University and GGU Technology Co., Ltd),
Yuhui Zhong*
(DGene),
Yuke Li*,
Xi Chen
(ShanghaiTech University),
Jiadi Cui
(ShanghaiTech University and Stereye),
Honglong Zhang
(Migu Cultural Technology Co.,Ltd,),
Lan Xu
(ShanghaiTech University),
Xin Lou
(ShanghaiTech University and GGU Technology Co., Ltd),
Yujiao Shi,
Jingyi Yu
Yingliang Zhang
(DGene)
* Indicates Equal Contribution
- GSWT: Gaussian Splatting Wang Tiles
(SIG)

-
Yunfan Zeng
(The Hong Kong University of Science and Technology),
Li Ma
(Eyeline Labs),
Pedro V. Sander
(The Hong Kong University of Science and Technology)
- Spectral-GS: Taming 3D Gaussian Splatting with Spectral Entropy
(SIG)

-
Letian Huang,
Jie Guo,
Jialin Dan,
Ruoyu Fu,
Shujie Wang,
Yuanqi Li,
Yanwen Guo
(State Key Lab for Novel Software Technology, Nanjing University)
- A compact stochastic representation for Monte Carlo Path Traced images
(SIG)

-
Matthias Sebastian Treder,
Pavlos Makridis,
Alexis Lechat,
Jesus Zarzar,
Marina Villanueva Barreiro,
Roc Ramon Currius
(Sony Interactive Entertainment)
- Editable Physically-based Reflections in Raytraced Gaussian Radiance Fields
(SIG)

-
Yohan Poirier-Ginter
(Inria, Universite Cote d'Azur / Universite Laval),
Jeffrey Hu
(Inria, Universite Cote d'Azur),
Jean-François Lalonde
(Universite Laval),
George Drettakis
(Inria, Universite Cote d'Azur)
Diffusion-Based Image Editing & Manipulation
- In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation
(SIG)

-
Yu Xu
(Institute of Computing Technology, Chinese Academy of Sciences and University of the Chinese Academy of Sciences),
Fan Tang,
You Wu,
Lin Gao
(Institute of Computing Technology, Chinese Academy of Sciences),
Oliver Deussen
(University of Konstanz),
Hongbin Yan
(University of Chinese Academy of Sciences),
Jintao Li,
Juan Cao
(Institute of Computing Technology, Chinese Academy of Sciences),
Tong-Yee Lee
(National Cheng Kung University)
- BlobCtrl: Taming Controllable Blob for Element-level Image Editing
(SIG)

-
Yaowei Li
(Peking University),
Lingen Li
(The Chinese University of Hong Kong),
Zhaoyang Zhang,
Guangzhi Wang
(ARC Lab, Tencent PCG),
Hongxiang Li
(Peking University),
Xiaodong Cun,
Ying Shan
(ARC Lab, Tencent PCG),
Yuexian Zou
(Peking University)
- ConsistEdit: Highly Consistent and Precise Training-free Visual Editing
(SIG)

-
Zixin Yin
(Hong Kong University of Science and Technology),
Ling-Hao Chen
(Tsinghua University and International Digital Economy Academy),
Lionel Ni
(Hong Kong University of Science and Technology and Hong Kong University of Science and Technology (Guangzhou)),
Xili Dai
(Hong Kong University of Science and Technology (Guangzhou))
- Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
(SIG)

-
Seungyong Lee*,
Jeong-gi Kwak*
(NXN Labs)
* Equal contribution
- DreamO: A Unified Framework for Image Customization
(SIG)

-
Chong Mou,
Yanze Wu,
Wenxu Wu,
Zinan Guo,
Pengze Zhang,
Yufeng Cheng,
Yiming Luo,
Fei Ding,
Shiwen Zhang,
Xinghui Li,
Mengtian Li,
Mingcong Liu,
Yunsheng Jiang,
Shaojin Wu,
Songtao Zhao
(Bytedance),
Jian Zhang
(Peking University),
Qian He,
Xinglong Wu
(Bytedance)
- The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion
(SIG)

-
Bang Gong*,
Luchao Qi*
(UNC Chapel Hill),
Jiaye Wu
(University of Maryland),
Zhicheng Fu,
Chunbo Song
(Lenovo),
David W. Jacobs
(University of Maryland),
John Nicholson
(Lenovo)
* Equal contribution
Geometry Processing & Representations
- Closed-form Cauchy Coordinates and Their Derivatives for 2D High-order Cages
(SIG)

-
Shibo Liu,
Ligang Liu,
Xiao-Ming Fu
(University of Science and Technology of China)
- Aerial Path Planning for Urban Geometry and Texture Co-Capture
(SIG/TOG)

-
Weidan Xiong,
Bochuan Zeng,
Ziyu Hu
(Shenzhen University),
Jianwei Guo
(Beijing Normal University),
Ke Xie,
Hui Huang
(Shenzhen University)
- Direct Rendering of Intrinsic Triangulations
(TOG)

-
Waldemar Celes
(Computer Science Department, PUC-Rio)
- Compact shape representation utilizing local surface similarities
(SIG)

-
Albert Garifullin
(Keldysh Institute of Applied Mathematics and Moscow State University),
Nikolay Mayorov,
Alexey Budak,
Sergei Nikitin,
Egor Prikhodko,
Roman Rodionov,
Ivan Korotaev
(Moscow State University),
Vladimir Frolov
(Moscow State University and Keldysh Institute of Applied Mathematics)
- NESI: Neural Explicit-Shape-Intersection-Based Geometry Representation
(TOG)

-
Congyi Zhang,
Jinfan Yang,
Eric Hedlin,
Suzuran Takikawa
(University of British Columbia),
Nicholas Vining
(NVIDIA / University of British Columbia),
Kwang Moo Yi
(University of British Columbia),
Wenping Wang
(Texas A&M University),
Alla Sheffer
(University of British Columbia)
[email protected]