Richard Tucker

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Top Venues

ACM Trans. Graph.

Publications

Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. CoRR (2024)
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. SIGGRAPH (Conference Paper Track) (2024)
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
DynIBaR: Neural Dynamic Image-Based Rendering. CVPR (2023)
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR (2023)
Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
Generative Image Dynamics. CoRR (2023)
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR (2023)
Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
Deformable Sprites for Unsupervised Video Decomposition. CVPR (2022)
Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
Deformable Sprites for Unsupervised Video Decomposition. CoRR (2022)
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
DynIBaR: Neural Dynamic Image-Based Rendering. CoRR (2022)
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
Dimensions of Motion: Monocular Prediction through Flow Subspaces. 3DV (2022)
Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
Repopulating Street Scenes. CoRR (2021)
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
Consistent depth of moving objects in video. ACM Trans. Graph. 40 (4) (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-rendering the World's Revolutionary Artefacts. CoRR (2021)
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
Consistent Depth of Moving Objects in Video. CoRR (2021)
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
De-Rendering the World's Revolutionary Artefacts. CVPR (2021)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV (2021)
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR (2021)
Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
Repopulating Street Scenes. CVPR (2021)
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR (2021)
Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. CoRR (2021)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-learning Signed Distance Functions. CoRR (2020)
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR (2020)
Richard Tucker, Noah Snavely
Single-View View Synthesis With Multiplane Images. CVPR (2020)
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS (2020)
Richard Tucker, Noah Snavely
Single-View View Synthesis with Multiplane Images. CoRR (2020)
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR (2020)
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR (2020)
John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker
DeepView: View Synthesis With Learned Gradient Descent. CVPR (2019)
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
Pushing the Boundaries of View Extrapolation With Multiplane Images. CVPR (2019)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
Learning the Depths of Moving People by Watching Frozen People. CoRR (2019)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
Learning the Depths of Moving People by Watching Frozen People. CVPR (2019)
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR (2019)
John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker
DeepView: View Synthesis with Learned Gradient Descent. CoRR (2019)
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely
Stereo Magnification: Learning View Synthesis using Multiplane Images. CoRR (2018)
Shubham Tulsiani, Richard Tucker, Noah Snavely
Layer-structured 3D Scene Inference via View Synthesis. CoRR (2018)
Shubham Tulsiani, Richard Tucker, Noah Snavely
Layer-Structured 3D Scene Inference via View Synthesis. ECCV (7) (2018)
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely
Stereo magnification: learning view synthesis using multiplane images. ACM Trans. Graph. 37 (4) (2018)