Wetzstein, Gordon

90 publications

ICLR 2025 3DitScene: Editing Any Scene via Language-Guided Disentangled Gaussian Splatting Qihang Zhang, Yinghao Xu, Chaoyang Wang, Hsin-Ying Lee, Gordon Wetzstein, Bolei Zhou, Ceyuan Yang

CVPR 2025 AIpparel: A Multimodal Foundation Model for Digital Garments Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan, Yang Zheng, Maria Korosteleva, Olga Sorkine-Hornung, Leonidas J. Guibas, Guandao Yang, Gordon Wetzstein

CVPR 2025 Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors Zhengfei Kuang, Tianyuan Zhang, Kai Zhang, Hao Tan, Sai Bi, Yiwei Hu, Zexiang Xu, Milos Hasan, Gordon Wetzstein, Fujun Luan

ICCV 2025 CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization Jan Ackermann, Jonas Kulhanek, Shengqu Cai, Haofei Xu, Marc Pollefeys, Gordon Wetzstein, Leonidas J. Guibas, Songyou Peng

ICCV 2025 CameraCtrl II: Dynamic Scene Exploration via Camera-Controlled Video Diffusion Models Hao He, Ceyuan Yang, Shanchuan Lin, Yinghao Xu, Meng Wei, Liangke Gui, Qi Zhao, Gordon Wetzstein, Lu Jiang, Hongsheng Li

ICLR 2025 CameraCtrl: Enabling Camera Control for Video Diffusion Models Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, Ceyuan Yang

CVPR 2025 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang

CVPR 2025 Diffusion Self-Distillation for Zero-Shot Customized Image Generation Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang, Leonidas Guibas, Jiajun Wu, Gordon Wetzstein

CVPR 2025 FLARE: Feed-Forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views Shangzhan Zhang, Jianyuan Wang, Yinghao Xu, Nan Xue, Christian Rupprecht, Xiaowei Zhou, Yujun Shen, Gordon Wetzstein

NeurIPS 2025 Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models Lvmin Zhang, Shengqu Cai, Muyang Li, Gordon Wetzstein, Maneesh Agrawala

ICML 2025 Gaussian Mixture Flow Matching Models Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas Guibas, Gordon Wetzstein, Sai Bi

ICCV 2025 GenDoP: Auto-Regressive Camera Trajectory Generation as a Director of Photography Mengchen Zhang, Tong Wu, Jing Tan, Ziwei Liu, Gordon Wetzstein, Dahua Lin

ICML 2025 Geometric Algebra Planes: Convex Implicit Neural Volumes Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci

CVPR 2025 GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling Yang Zheng, Menglei Chai, Delio Vicini, Yuxiao Zhou, Yinghao Xu, Leonidas Guibas, Gordon Wetzstein, Thabo Beeler

ICCV 2025 ImageGem: In-the-Wild Generative Image Interaction Dataset for Generative Model Personalization Yuanhe Guo, Linxi Xie, Zhuoran Chen, Kangrui Yu, Ryan Po, Guandao Yang, Gordon Wetzstein, Hongyi Wen

ICCV 2025 Long-Context State-Space Video World Models Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang

NeurIPS 2025 Multiscale Guidance of Protein Structure Prediction with Heterogeneous Cryo-EM Data Rishwanth Raghu, Axel Levy, Gordon Wetzstein, Ellen D Zhong

ICML 2025 RBench: Graduate-Level Multi-Disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

ICCV 2025 Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction Youming Deng, Wenqi Xian, Guandao Yang, Leonidas Guibas, Gordon Wetzstein, Steve Marschner, Paul Debevec

CVPR 2025 Textured Gaussians for Enhanced 3D Scene Appearance Modeling Brian Chao, Hung-Yu Tseng, Lorenzo Porzi, Chen Gao, Tuotuo Li, Qinbo Li, Ayush Saraf, Jia-Bin Huang, Johannes Kopf, Gordon Wetzstein, Changil Kim

CVPR 2025 The Language of Motion: Unifying Verbal and Non-Verbal Language of 3D Human Motion Changan Chen, Juze Zhang, Shrinidhi K. Lakshmikanth, Yusu Fang, Ruizhi Shao, Gordon Wetzstein, Li Fei-Fei, Ehsan Adeli

NeurIPS 2025 Video World Models with Long-Term Spatial Memory Tong Wu, Shuai Yang, Ryan Po, Yinghao Xu, Ziwei Liu, Dahua Lin, Gordon Wetzstein

ICCV 2025 Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images Boyang Deng, Songyou Peng, Kyle Genova, Gordon Wetzstein, Noah Snavely, Leonidas Guibas, Thomas Funkhouser

ICCV 2025 WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions Zizhang Li, Hong-Xing Yu, Wei Liu, Yin Yang, Charles Herrmann, Gordon Wetzstein, Jiajun Wu

CVPR 2025 X-Dyna: Expressive Dynamic Human Image Animation Di Chang, Hongyi Xu, You Xie, Yipeng Gao, Zhengfei Kuang, Shengqu Cai, Chenxu Zhang, Guoxian Song, Chao Wang, Yichun Shi, Zeyuan Chen, Shijie Zhou, Linjie Luo, Gordon Wetzstein, Mohammad Soleymani

CVPR 2024 4D-Fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell

NeurIPS 2024 Collaborative Video Diffusion: Consistent Multi-Video Generation with Camera Control Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein

ICLR 2024 DMV3D: Denoising Multi-View Diffusion Using 3D Large Reconstruction Model Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang

WACV 2024 Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein

NeurIPS 2024 FiVA: Fine-Grained Visual Attribute Dataset for Text-to-Image Diffusion Models Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang, Jiaqi Wang, Ziwei Liu, Dahua Lin, Gordon Wetzstein

CoRL 2024 Flow as the Cross-Domain Manipulation Interface Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song

ECCV 2024 Flying with Photons: Rendering Novel Views of Propagating Light Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell

CVPR 2024 GPT-4V(ision) Is a Human-Aligned Evaluator for Text-to-3D Generation Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas Guibas, Dahua Lin, Gordon Wetzstein

ECCV 2024 GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation Yinghao Xu, Zifan Shi, Wang Yifan, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, Gordon Wetzstein

CVPR 2024 Gaussian Shell Maps for Efficient 3D Human Generation Rameen Abdal, Wang Yifan, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein

CVPR 2024 Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein

CoRL 2024 HumanPlus: Humanoid Shadowing and Imitation from Humans Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn

NeurIPS 2024 Interpreting the Weight Space of Customized Diffusion Models Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman

NeurIPS 2024 Make-It-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials Ye Fang, Zeyi Sun, Tong Wu, Jiaqi Wang, Ziwei Liu, Gordon Wetzstein, Dahua Lin

ECCV 2024 MegaScenes: Scene-Level View Synthesis at Scale Joseph Tung, Gene Chou, Ruojin Cai, Guandao Yang, Kai Zhang, Gordon Wetzstein, Bharath Hariharan, Noah Snavely

NeurIPS 2024 Mixture of Neural Fields for Heterogeneous Reconstruction in Cryo-EM Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong

CVPR 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein

ECCV 2024 PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas Guibas, Gordon Wetzstein

CVPR 2024 PixelRNN: In-Pixel Recurrent Neural Networks for End-to-End-Optimized Perception with Neural Sensors Haley M. So, Laurie Bose, Piotr Dudek, Gordon Wetzstein

ECCV 2024 Real-Time 3D-Aware Portrait Editing from a Single Image Qingyan Bai, Zifan Shi, Yinghao Xu, Hao Ouyang, Qiuyu Wang, Ceyuan Yang, Xuan Wang, Gordon Wetzstein, Yujun Shen, Qifeng Chen

ECCV 2024 TC4D: Trajectory-Conditioned Text-to-4D Generation Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B Lindell

CVPR 2023 3D Neural Field Generation Using Triplane Diffusion J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

TMLR 2023 3D-Aware Video Generation Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte

CVPR 2023 ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi

ICCV 2023 CC3D: Layout-Conditioned Generation of Compositional 3D Scenes Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, Andrea Tagliasacchi

ICCV 2023 DiffDreamer: Towards Consistent Unsupervised Single-View Scene Extrapolation with Conditional Diffusion Models Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

ICCV 2023 Generative Novel View Synthesis with 3D-Aware Diffusion Models Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein

ICCVW 2023 Instant Continual Learning of Neural Radiance Fields Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein

ICLR 2023 Learning Controllable Adaptive Simulation for Multi-Resolution Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

CVPR 2023 PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli

CVPR 2023 PointAvatar: Deformable Point-Based Head Avatars from Videos Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges

ICCV 2023 PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas

CVPR 2023 SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene Minjung Son, Jeong Joon Park, Leonidas Guibas, Gordon Wetzstein

NeurIPS 2022 Amortized Inference for Heterogeneous Reconstruction in Cryo-EM Axel Levy, Gordon Wetzstein, Julien N.P Martel, Frederic Poitevin, Ellen Zhong

CVPR 2022 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

ECCV 2022 CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein

CVPR 2022 Efficient Geometry-Aware 3D Generative Adversarial Networks Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein

NeurIPS 2022 Generative Neural Articulated Radiance Fields Alexander Bergman, Petr Kellnhofer, Wang Yifan, Eric Chan, David Lindell, Gordon Wetzstein

NeurIPSW 2022 Learning Controllable Adaptive Simulation for Multi-Scale Physics Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec

ICML 2022 Learning to Solve PDE-Constrained Inverse Problems with Graph Networks Qingqing Zhao, David B Lindell, Gordon Wetzstein

ICMLW 2022 Learning to Solve PDE-Constrained Inverse Problems with Graph Networks Qingqing Zhao, David B. Lindell, Gordon Wetzstein

NeurIPS 2022 NeuForm: Adaptive Overfitting for Neural Shape Editing Connor Lin, Niloy Mitra, Gordon Wetzstein, Leonidas Guibas, Paul Guerrero

CVPR 2021 AutoInt: Automatic Integration for Fast Neural Volume Rendering David B. Lindell, Julien N. P. Martel, Gordon Wetzstein

NeurIPS 2021 Fast Training of Neural Lumigraph Representations Using Meta Learning Alexander Bergman, Petr Kellnhofer, Gordon Wetzstein

CVPR 2021 Neural Lumigraph Rendering Petr Kellnhofer, Lars C. Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein

CVPR 2021 Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein

ICCV 2021 Single-Shot Hyperspectral-Depth Imaging with Learned Diffractive Optics Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim

ICCV 2021 Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello

ECCV 2020 Disambiguating Monocular Depth Estimation with a Single Transient Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein

NeurIPS 2020 Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, Gordon Wetzstein

NeurIPS 2020 MetaSDF: Meta-Learning Signed Distance Functions Vincent Sitzmann, Eric Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein

NeurIPS 2019 Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann, Michael Zollhoefer, Gordon Wetzstein

CVPR 2017 A Wide-Field-of-View Monocentric Light Field Camera Donald G. Dansereau, Glenn Schuster, Joseph Ford, Gordon Wetzstein

ICCV 2017 Consensus Convolutional Sparse Coding Biswarup Choudhury, Robin Swanson, Felix Heide, Gordon Wetzstein, Wolfgang Heidrich

CVPR 2017 Reconstructing Transient Images from Single-Photon Sensors Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein

CVPR 2016 Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff Julie Chang, Isaac Kauvar, Xuemei Hu, Gordon Wetzstein

CVPR 2015 Fast and Flexible Convolutional Sparse Coding Felix Heide, Wolfgang Heidrich, Gordon Wetzstein

CVPR 2014 Transparent Object Reconstruction via Coded Transport of Intensity Chenguang Ma, Xing Lin, Jinli Suo, Qionghai Dai, Gordon Wetzstein

ECCV 2014 Vision Correcting Displays Based on Inverse Blurring and Aberration Compensation Brian A. Barsky, Fu-Chung Huang, Douglas Lanman, Gordon Wetzstein, Ramesh Raskar

ECCVW 2014 Vision Correcting Displays Based on Inverse Blurring and Aberration Compensation Brian A. Barsky, Fu-Chung Huang, Douglas Lanman, Gordon Wetzstein, Ramesh Raskar

ECCV 2012 Frequency Analysis of Transient Light Transport with Applications in Bare Sensor Imaging Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Matthew O'Toole, Nikhil Naik, Qionghai Dai, Kyros Kutulakos, Ramesh Raskar

CVPRW 2012 Single Lens Off-Chip Cellphone Microscopy Aydin Arpa, Gordon Wetzstein, Douglas Lanman, Ramesh Raskar

ICCV 2011 Refractive Shape from Light Field Distortion Gordon Wetzstein, David Roodnick, Wolfgang Heidrich, Ramesh Raskar

CVPR 2010 A Theory of Plenoptic Multiplexing Ivo Ihrke, Gordon Wetzstein, Wolfgang Heidrich

CVPR 2010 Sensor Saturation in Fourier Multiplexed Imaging Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich