Vincent Sitzmann

According to our database, Vincent Sitzmann authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unifying 3D Representation and Control of Diverse Robots with a Single Camera.

Sizhe Lester Li, Annan Zhang, Boyuan Chen, Hanna Matusik, Chao Liu, Daniela Rus, Vincent Sitzmann

CoRR, 2024

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Boyuan Chen, Diego Marti Monso, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann

CoRR, 2024

Robust Biharmonic Skinning Using Geometric Fields.

Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein

CoRR, 2024

Neural Isometries: Taming Transformations for Equivariant ML.

Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann

CoRR, 2024

Score Distillation via Reparametrized DDIM.

Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon

CoRR, 2024

FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.

Cameron Smith, David Charatan, Ayush Tewari, Vincent Sitzmann

CoRR, 2024

DittoGym: Learning to Control Soft Shape-Shifting Robots.

Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction.

David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, Vincent Sitzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intrinsic Image Diffusion for Indoor Single-view Material Estimation.

Peter Kocsis, Vincent Sitzmann, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Variational Barycentric Coordinates.

Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon

ACM Trans. Graph., December, 2023

Unsupervised Discovery and Composition of Object Light Fields.

Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

Trans. Mach. Learn. Res., 2023

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction.

David Charatan, Sizhe Li, Andrea Tagliasacchi, Vincent Sitzmann

CoRR, 2023

Intrinsic Image Diffusion for Single-view Material Estimation.

Peter Kocsis, Vincent Sitzmann, Matthias Nießner

CoRR, 2023

Approaching human 3D shape perception with neurally mappable models.

Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman, Ayush Tewari, Joshua B. Tenenbaum, Vincent Sitzmann, Nancy Kanwisher

CoRR, 2023

Neural Fields for Visual Computing: SIGGRAPH 2023 Course.

Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision.

Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow.

Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Render Novel Views from Wide-Baseline Stereo Pairs.

Yilun Du, Cameron Smith, Ayush Tewari, Vincent Sitzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

CoRR, 2022

Neural Fields in Visual Computing and Beyond.

Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar

Comput. Graph. Forum, 2022

Advances in Neural Rendering.

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

Comput. Graph. Forum, 2022

Decomposing NeRF for Editing via Feature Field Distillation.

Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation.

Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann

Proceedings of the 2022 International Conference on Robotics and Automation, 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 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dirty Pixels: Towards End-to-end Image Processing and Perception.

Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide

ACM Trans. Graph., 2021

Deep Medial Fields.

Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2021

Advances in neural rendering.

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

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering.

Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Signal-Agnostic Manifolds of Neural Fields.

Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Single-Shot Scene Reconstruction.

Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

3D Neural Scene Representations for Visuomotor Control.

Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Inferring Semantic Information with 3D Neural Scene Representations.

Amit P. S. Kohli, Vincent Sitzmann, Gordon Wetzstein

CoRR, 2020

State of the Art on Neural Rendering.

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

Comput. Graph. Forum, 2020

Implicit Neural Representations with Periodic Activation Functions.

Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MetaSDF: Meta-Learning Signed Distance Functions.

Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semantic Implicit Neural Scene Representations With Semi-Supervised Training.

Amit Pal Singh Kohli, Vincent Sitzmann, Gordon Wetzstein

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations.

Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepVoxels: Learning Persistent 3D Feature Embeddings.

Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Saliency in VR: How Do People Explore Virtual Environments?

Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Belén Masiá, Gordon Wetzstein

IEEE Trans. Vis. Comput. Graph., 2018

Towards a Machine-Learning Approach for Sickness Prediction in 360° Stereoscopic Videos.

Nitish Padmanaban, Timon Ruban, Vincent Sitzmann, Anthony M. Norcia, Gordon Wetzstein

IEEE Trans. Vis. Comput. Graph., 2018

End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging.

Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein

ACM Trans. Graph., 2018

2017

Movie editing and cognitive event segmentation in virtual reality video.

Ana Serrano, Vincent Sitzmann, Jaime Ruiz-Borau, Gordon Wetzstein, Diego Gutierrez, Belén Masiá

ACM Trans. Graph., 2017

Unrolled Optimization with Deep Priors.

Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein

CoRR, 2017

Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data.

Steven Diamond, Vincent Sitzmann, Stephen P. Boyd, Gordon Wetzstein, Felix Heide

CoRR, 2017

2016

Saliency in VR: How do people explore virtual environments?

Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Gordon Wetzstein

CoRR, 2016