Richard Tucker

According to our database, Richard Tucker authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos.

Linyi Jin, Richard Tucker, Zhengqi Li, David Fouhey, Noah Snavely, Aleksander Holynski

CoRR, 2024

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

CoRR, 2024

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion.

Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Generative Image Dynamics.

Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DynIBaR: Neural Dynamic Image-Based Rendering.

Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Persistent Nature: A Generative Model of Unbounded 3D Worlds.

Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deformable Sprites for Unsupervised Video Decomposition.

Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dimensions of Motion: Monocular Prediction through Flow Subspaces.

Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely

Proceedings of the International Conference on 3D Vision, 2022

2021

Consistent depth of moving objects in video.

Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel

ACM Trans. Graph., 2021

MannequinChallenge: 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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image.

Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely

CoRR, 2021

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image.

Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

De-Rendering the World's Revolutionary Artefacts.

Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Repopulating Street Scenes.

Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control.

Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

MetaSDF: Meta-Learning Signed Distance Functions.

Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Single-View View Synthesis With Multiplane Images.

Richard Tucker, Noah Snavely

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination.

Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Pushing the Boundaries of View Extrapolation With Multiplane Images.

Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Stereo magnification: learning view synthesis using multiplane images.

Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely

ACM Trans. Graph., 2018

Layer-Structured 3D Scene Inference via View Synthesis.

Shubham Tulsiani, Richard Tucker, Noah Snavely

Proceedings of the Computer Vision - ECCV 2018, 2018