Richard Tucker

46 papers A* 17Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis. CoRR Michal Geyer, Omer Tov, Linyi Jin, Richard Tucker, Inbar Mosseri, Tali Dekel, Noah Snavely
2025	A*	`conf`	MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos. CVPR Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely
2025	A*	`conf`	Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. CVPR Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski
2024	A*	`conf`	Generative Image Dynamics. CVPR Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
2024	J	`jnl`	MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos. CoRR Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely
2024	J	`jnl`	Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. CoRR Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski
2024	—	`conf`	Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. SIGGRAPH (Conference Paper Track) Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
2024	J	`jnl`	Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. CoRR Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
2023	A*	`conf`	DynIBaR: Neural Dynamic Image-Based Rendering. CVPR Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
2023	J	`jnl`	Generative Image Dynamics. CoRR Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
2023	A*	`conf`	Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2023	J	`jnl`	Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2022	A*	`conf`	Deformable Sprites for Unsupervised Video Decomposition. CVPR Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
2022	J	`jnl`	Deformable Sprites for Unsupervised Video Decomposition. CoRR Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely
2022	—	`conf`	Dimensions of Motion: Monocular Prediction through Flow Subspaces. 3DV Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
2022	J	`jnl`	DynIBaR: Neural Dynamic Image-Based Rendering. CoRR Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely
2021	J	`jnl`	Consistent Depth of Moving Objects in Video. CoRR Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
2021	J	`jnl`	Consistent depth of moving objects in video. ACM Trans. Graph. Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
2021	A*	`conf`	De-Rendering the World's Revolutionary Artefacts. CVPR Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
2021	J	`jnl`	De-rendering the World's Revolutionary Artefacts. CoRR Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa
2021	J	`jnl`	Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. CoRR Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely
2021	A*	`conf`	Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa
2021	A*	`conf`	KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
2021	J	`jnl`	KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa
2021	J	`jnl`	MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2021	A*	`conf`	Repopulating Street Scenes. CVPR Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
2021	J	`jnl`	Repopulating Street Scenes. CoRR Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
2021	A*	`conf`	SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
2021	J	`jnl`	SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
2020	J	`jnl`	Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa
2020	A*	`conf`	Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
2020	J	`jnl`	Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
2020	A*	`conf`	MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
2020	J	`jnl`	MetaSDF: Meta-learning Signed Distance Functions. CoRR Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein
2020	A*	`conf`	Single-View View Synthesis With Multiplane Images. CVPR Richard Tucker, Noah Snavely
2020	J	`jnl`	Single-View View Synthesis with Multiplane Images. CoRR Richard Tucker, Noah Snavely
2019	A*	`conf`	DeepView: View Synthesis With Learned Gradient Descent. CVPR John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker
2019	J	`jnl`	DeepView: View Synthesis with Learned Gradient Descent. CoRR John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker
2019	A*	`conf`	Learning the Depths of Moving People by Watching Frozen People. CVPR Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2019	J	`jnl`	Learning the Depths of Moving People by Watching Frozen People. CoRR Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
2019	A*	`conf`	Pushing the Boundaries of View Extrapolation With Multiplane Images. CVPR Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
2019	J	`jnl`	Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
2018	—	`conf`	Layer-Structured 3D Scene Inference via View Synthesis. ECCV (7) Shubham Tulsiani, Richard Tucker, Noah Snavely
2018	J	`jnl`	Layer-structured 3D Scene Inference via View Synthesis. CoRR Shubham Tulsiani, Richard Tucker, Noah Snavely
2018	J	`jnl`	Stereo Magnification: Learning View Synthesis using Multiplane Images. CoRR Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely
2018	J	`jnl`	Stereo magnification: learning view synthesis using multiplane images. ACM Trans. Graph. Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely