Richard Tucker
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
5
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. | Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski |
| 2025 | CVPR | MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos. | Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely |
| 2024 | CVPR | Generative Image Dynamics. | Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski |
| 2024 | SIGGRAPH | Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. | Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein |
| 2023 | AAAI | Simple and Effective Synthesis of Indoor 3D Scenes. | Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson |
| 2023 | CVPR | Persistent Nature: A Generative Model of Unbounded 3D Worlds. | Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely |
| 2023 | CVPR | DynIBaR: Neural Dynamic Image-Based Rendering. | Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely |
| 2022 | CVPR | Deformable Sprites for Unsupervised Video Decomposition. | Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely |
| 2021 | CVPR | KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. | Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa |
| 2021 | CVPR | Repopulating Street Scenes. | Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely |
| 2021 | CVPR | De-Rendering the World's Revolutionary Artefacts. | Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa |
| 2021 | ICCV | SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. | Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu |
| 2021 | ICCV | Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. | Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa |
| 2020 | CVPR | Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. | Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely |
| 2020 | CVPR | Single-View View Synthesis With Multiplane Images. | Richard Tucker, Noah Snavely |
| 2019 | CVPR | DeepView: View Synthesis With Learned Gradient Descent. | John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker |
| 2019 | CVPR | Learning the Depths of Moving People by Watching Frozen People. | Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman |
| 2019 | CVPR | Pushing the Boundaries of View Extrapolation With Multiplane Images. | Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely |
| 2018 | ECCV | Layer-Structured 3D Scene Inference via View Synthesis. | Shubham Tulsiani, Richard Tucker, Noah Snavely |