Sitzmann, Vincent

25 publications

NeurIPS 2025 Dataset Distillation for Pre-Trained Self-Supervised Vision Models George Cazenavette, Antonio Torralba, Vincent Sitzmann

ICML 2025 History-Guided Video Diffusion Kiwhan Song, Boyuan Chen, Max Simchowitz, Yilun Du, Russ Tedrake, Vincent Sitzmann

NeurIPS 2025 Locality in Image Diffusion Models Emerges from Data Statistics Artem Lukoianov, Chenyang Yuan, Justin Solomon, Vincent Sitzmann

TMLR 2025 SIRE: SE(3) Intrinsic Rigidity Embeddings Cameron Omid Smith, Basile Van Hoorick, Chonghyuk Song, Vincent Sitzmann, Vitor Campagnolo Guizilini, Yue Wang

NeurIPS 2024 Diffusion Forcing: Next-Token Prediction Meets Full-Sequence Diffusion Boyuan Chen, Diego Martí Monsó, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann

ICLR 2024 DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann

CVPR 2024 Intrinsic Image Diffusion for Indoor Single-View Material Estimation Peter Kocsis, Vincent Sitzmann, Matthias Nießner

NeurIPS 2024 Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann

NeurIPS 2024 Score Distillation via Reparametrized DDIM Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor Campagnolo Guizilini, Timur Bagautdinov, Vincent Sitzmann, Justin Solomon

CVPR 2024 pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, Vincent Sitzmann

ICCV 2023 DeLiRa: Self-Supervised Depth, Light, and Radiance Fields Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

NeurIPS 2023 Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Fredo Durand, Bill Freeman, Vincent Sitzmann

NeurIPS 2023 FlowCam: Training Generalizable 3D Radiance Fields Without Camera Poses via Pixel-Aligned Scene Flow Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann

CVPR 2023 Learning to Render Novel Views from Wide-Baseline Stereo Pairs Yilun Du, Cameron Smith, Ayush Tewari, Vincent Sitzmann

ICLR 2023 Neural Groundplans: Persistent Neural Scene Representations from a Single Image Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

TMLR 2023 Unsupervised Discovery and Composition of Object Light Fields Cameron Omid Smith, Hong-Xing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

NeurIPS 2022 Decomposing NeRF for Editing via Feature Field Distillation Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann

CVPR 2022 Kubric: A Scalable Dataset Generator Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

CoRL 2021 3D Neural Scene Representations for Visuomotor Control Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

NeurIPS 2021 Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann

NeurIPS 2021 Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Fredo Durand

CoRL 2021 Single-Shot Scene Reconstruction Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagnolo Guizilini, Dennis Park, Wadim Kehl, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

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