Vincent Sitzmann

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 66

Top Topics

Raw Sensor Data

Inverse Problems

Top Venues

ACM Trans. Graph.

Publications

Boyuan Chen, Diego Marti Monso, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion. CoRR (2024)
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon
Score Distillation via Reparametrized DDIM. CoRR (2024)
Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
DittoGym: Learning to Control Soft Shape-Shifting Robots. ICLR (2024)
Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein
Robust Biharmonic Skinning Using Geometric Fields. CoRR (2024)
Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
DittoGym: Learning to Control Soft Shape-Shifting Robots. CoRR (2024)
Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann
Neural Isometries: Taming Transformations for Equivariant ML. CoRR (2024)
Cameron Smith, David Charatan, Ayush Tewari, Vincent Sitzmann
FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent. CoRR (2024)
Sizhe Lester Li, Annan Zhang, Boyuan Chen, Hanna Matusik, Chao Liu, Daniela Rus, Vincent Sitzmann
Unifying 3D Representation and Control of Diverse Robots with a Single Camera. CoRR (2024)
Peter Kocsis, Vincent Sitzmann, Matthias Nießner
Intrinsic Image Diffusion for Single-view Material Estimation. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV (2023)
Yilun Du, Cameron Smith, Ayush Tewari, Vincent Sitzmann
Learning to Render Novel Views from Wide-Baseline Stereo Pairs. CoRR (2023)
Yilun Du, Cameron Smith, Ayush Tewari, Vincent Sitzmann
Learning to Render Novel Views from Wide-Baseline Stereo Pairs. CVPR (2023)
Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow. CoRR (2023)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023)
Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman, Ayush Tewari, Josh B. Tenenbaum, Vincent Sitzmann, Nancy Kanwisher
Approaching human 3D shape perception with neurally mappable models. CoRR (2023)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR (2023)
Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow. NeurIPS (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR (2023)
Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
Variational Barycentric Coordinates. CoRR (2023)
Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
Variational Barycentric Coordinates. ACM Trans. Graph. 42 (6) (2023)
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. CoRR (2023)
Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu
Neural Fields for Visual Computing: SIGGRAPH 2023 Course. SIGGRAPH Courses (2023)
David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. CoRR (2023)
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. NeurIPS (2023)
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik
Advances in Neural Rendering. Comput. Graph. Forum 41 (2) (2022)
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Neural Fields in Visual Computing and Beyond. Comput. Graph. Forum 41 (2) (2022)
Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Decomposing NeRF for Editing via Feature Field Distillation. NeurIPS (2022)
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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, 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
Kubric: A scalable dataset generator. CVPR (2022)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. CoRR (2022)
Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Decomposing NeRF for Editing via Feature Field Distillation. CoRR (2022)
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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, 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
Kubric: A scalable dataset generator. CoRR (2022)
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA (2022)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR (2022)
Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann
Learning Signal-Agnostic Manifolds of Neural Fields. NeurIPS (2021)
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. CoRR (2021)
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Neural Fields in Visual Computing and Beyond. CoRR (2021)
Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide
Dirty Pixels: Towards End-to-end Image Processing and Perception. ACM Trans. Graph. 40 (3) (2021)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer
Advances in neural rendering. SIGGRAPH Courses (2021)
Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
3D Neural Scene Representations for Visuomotor Control. CoRL (2021)
Yilun Du, Katherine M. Collins, Joshua B. Tenenbaum, Vincent Sitzmann
Learning Signal-Agnostic Manifolds of Neural Fields. CoRR (2021)
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS (2021)
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik
Advances in Neural Rendering. CoRR (2021)
Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagholo Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
Single-Shot Scene Reconstruction. CoRL (2021)
Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
3D Neural Scene Representations for Visuomotor Control. CoRR (2021)
Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Frédo Durand
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. CoRR (2021)
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Deep Medial Fields. CoRR (2021)
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
Implicit Neural Representations with Periodic Activation Functions. NeurIPS (2020)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-learning Signed Distance Functions. CoRR (2020)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer
State of the Art on Neural Rendering. Comput. Graph. Forum 39 (2) (2020)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer
State of the Art on Neural Rendering. CoRR (2020)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS (2020)
Amit Pal Singh Kohli, Vincent Sitzmann, Gordon Wetzstein
Semantic Implicit Neural Scene Representations With Semi-Supervised Training. 3DV (2020)
Amit P. S. Kohli, Vincent Sitzmann, Gordon Wetzstein
Inferring Semantic Information with 3D Neural Scene Representations. CoRR (2020)
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
Implicit Neural Representations with Periodic Activation Functions. CoRR (2020)
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer
DeepVoxels: Learning Persistent 3D Feature Embeddings. CVPR (2019)
Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. NeurIPS (2019)
Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. CoRR (2019)
Ana Serrano, Vincent Sitzmann, Jaime Ruiz-Borau, Gordon Wetzstein, Diego Gutierrez, Belén Masiá
Movie Editing and Cognitive Event Segmentation in Virtual Reality Video. CoRR (2018)
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer
DeepVoxels: Learning Persistent 3D Feature Embeddings. CoRR (2018)
Nitish Padmanaban, Timon Ruban, Vincent Sitzmann, Anthony M. Norcia, Gordon Wetzstein
Towards a Machine-Learning Approach for Sickness Prediction in 360° Stereoscopic Videos. IEEE Trans. Vis. Comput. Graph. 24 (4) (2018)
Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37 (4) (2018)
Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Belén Masiá, Gordon Wetzstein
Saliency in VR: How Do People Explore Virtual Environments? IEEE Trans. Vis. Comput. Graph. 24 (4) (2018)
Ana Serrano, Vincent Sitzmann, Jaime Ruiz-Borau, Gordon Wetzstein, Diego Gutierrez, Belén Masiá
Movie editing and cognitive event segmentation in virtual reality video. ACM Trans. Graph. 36 (4) (2017)
Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein
Unrolled Optimization with Deep Priors. CoRR (2017)
Steven Diamond, Vincent Sitzmann, Stephen P. Boyd, Gordon Wetzstein, Felix Heide
Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. CoRR (2017)
Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Gordon Wetzstein
Saliency in VR: How do people explore virtual environments? CoRR (2016)