Layer-Structured 3D Scene Inference via View Synthesis. - Shubham Tulsiani; Richard Tucker 001; Noah Snavely (ECCV (7), 2018)

Stereo magnification: learning view synthesis using multiplane images. - Tinghui Zhou; Richard Tucker 001; John Flynn; Graham Fyffe; Noah Snavely (ACM Trans. Graph., 2018)

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 001 (CVPR, 2019)

Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (CVPR, 2019)

Pushing the Boundaries of View Extrapolation With Multiplane Images. - Pratul P. Srinivasan; Richard Tucker 001; Jonathan T. Barron; Ravi Ramamoorthi; Ren Ng; Noah Snavely (CVPR, 2019)

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. - Pratul P. Srinivasan; Ben Mildenhall; Matthew Tancik; Jonathan T. Barron; Richard Tucker 001; Noah Snavely (CVPR, 2020)

Single-View View Synthesis With Multiplane Images. - Richard Tucker 001; Noah Snavely (CVPR, 2020)

MetaSDF: Meta-Learning Signed Distance Functions. - Vincent Sitzmann; Eric R. Chan; Richard Tucker 001; Noah Snavely; Gordon Wetzstein (NeurIPS, 2020)

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. - Tomas Jakab; Richard Tucker 001; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Angjoo Kanazawa (CVPR, 2021)

Repopulating Street Scenes. - Yifan Wang 011; Andrew Liu 001; Richard Tucker 001; Jiajun Wu 001; Brian L. Curless; Steven M. Seitz; Noah Snavely (CVPR, 2021)

De-Rendering the World's Revolutionary Artefacts. - Shangzhe Wu; Ameesh Makadia; Jiajun Wu 001; Noah Snavely; Richard Tucker 001; Angjoo Kanazawa (CVPR, 2021)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (ICCV, 2021)

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. - Andrew Liu 001; Ameesh Makadia; Richard Tucker 001; Noah Snavely; Varun Jampani; Angjoo Kanazawa (ICCV, 2021)

Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. - Richard Strong Bowen; Richard Tucker 001; Ramin Zabih; Noah Snavely (CoRR, 2021)

MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. - Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker 001; Noah Snavely; Ce Liu 001; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Consistent depth of moving objects in video. - Zhoutong Zhang; Forrester Cole; Richard Tucker 001; William T. Freeman; Tali Dekel (ACM Trans. Graph., 2021)

Dimensions of Motion: Monocular Prediction through Flow Subspaces. - Richard Strong Bowen; Richard Tucker 001; Ramin Zabih; Noah Snavely (3DV, 2022)

Deformable Sprites for Unsupervised Video Decomposition. - Vickie Ye; Zhengqi Li; Richard Tucker 001; Angjoo Kanazawa; Noah Snavely (CVPR, 2022)

Persistent Nature: A Generative Model of Unbounded 3D Worlds. - Lucy Chai; Richard Tucker 001; Zhengqi Li; Phillip Isola; Noah Snavely (CVPR, 2023)

DynIBaR: Neural Dynamic Image-Based Rendering. - Zhengqi Li; Qianqian Wang 002; Forrester Cole; Richard Tucker 001; Noah Snavely (CVPR, 2023)

Generative Image Dynamics. - Zhengqi Li; Richard Tucker 001; Noah Snavely; Aleksander Holynski (CVPR, 2024)

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. - Boyang Deng; Richard Tucker 001; Zhengqi Li; Leonidas J. Guibas; Noah Snavely; Gordon Wetzstein (SIGGRAPH (Conference Paper Track), 2024)

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos. - Linyi Jin; Richard Tucker 001; Zhengqi Li; David Fouhey; Noah Snavely; Aleksander Holynski (CVPR, 2025)

MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos. - Zhengqi Li; Richard Tucker 001; Forrester Cole; Qianqian Wang 002; Linyi Jin; Vickie Ye; Angjoo Kanazawa; Aleksander Holynski; Noah Snavely (CVPR, 2025)

Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis. - Michal Geyer; Omer Tov; Linyi Jin; Richard Tucker 001; Inbar Mosseri; Tali Dekel; Noah Snavely (CoRR, 2025)