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ORCIDRichard Tucker 0001
Person information
- affiliation: Google Research, Mountain View, CA, USA
Other persons with the same name
- Richard Tucker — disambiguation page
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Journal Articles
- 2021
[j3]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): 4229-4241 (2021)- [j2]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent depth of moving objects in video. ACM Trans. Graph. 40(4): 148:1-148:12 (2021) - 2018
- [j1]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo magnification: learning view synthesis using multiplane images. ACM Trans. Graph. 37(4): 65 (2018)
Conference and Workshop Papers
- 2024
- [c18]Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski:
Generative Image Dynamics. CVPR 2024: 24142-24153 - [c17]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: 27 - 2023
- [c16]Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely:
DynIBaR: Neural Dynamic Image-Based Rendering. CVPR 2023: 4273-4284 - [c15]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR 2023: 20863-20874 - 2022
- [c14]Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely:
Dimensions of Motion: Monocular Prediction through Flow Subspaces. 3DV 2022: 454-464 - [c13]Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CVPR 2022: 2647-2656 - 2021
- [c12]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CVPR 2021: 5110-5119 - [c11]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347 - [c10]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792 - [c9]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: 12498-12507 - [c8]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: 14438-14447 - 2020
- [c7]Richard Tucker, Noah Snavely:
Single-View View Synthesis With Multiplane Images. CVPR 2020: 548-557 - [c6]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR 2020: 8077-8086 - [c5]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS 2020 - 2019
- [c4]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: 175-184 - [c3]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: 2367-2376 - [c2]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: 4521-4530 - 2018
- [c1]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-Structured 3D Scene Inference via View Synthesis. ECCV (7) 2018: 311-327
Informal and Other Publications
- 2024
- [i22]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 abs/2407.13759 (2024) - [i21]Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely:
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos. CoRR abs/2412.04463 (2024) - [i20]Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski:
Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. CoRR abs/2412.09621 (2024) - 2023
- [i19]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR abs/2303.13515 (2023) - [i18]Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski:
Generative Image Dynamics. CoRR abs/2309.07906 (2023) - 2022
- [i17]Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CoRR abs/2204.07151 (2022) - [i16]Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely:
DynIBaR: Neural Dynamic Image-Based Rendering. CoRR abs/2211.11082 (2022) - 2021
- [i15]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CoRR abs/2103.16183 (2021) - [i14]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021) - [i13]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021) - [i12]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent Depth of Moving Objects in Video. CoRR abs/2108.01166 (2021) - [i11]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 abs/2109.01068 (2021) - [i10]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 abs/2112.01502 (2021) - 2020
- [i9]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR abs/2003.08367 (2020) - [i8]Richard Tucker, Noah Snavely:
Single-View View Synthesis with Multiplane Images. CoRR abs/2004.11364 (2020) - [i7]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-learning Signed Distance Functions. CoRR abs/2006.09662 (2020) - [i6]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 abs/2012.09855 (2020) - 2019
- [i5]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 abs/1904.11111 (2019) - [i4]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR abs/1905.00413 (2019) - [i3]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 abs/1906.07316 (2019) - 2018
- [i2]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo Magnification: Learning View Synthesis using Multiplane Images. CoRR abs/1805.09817 (2018) - [i1]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-structured 3D Scene Inference via View Synthesis. CoRR abs/1807.10264 (2018)
Coauthor Index
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