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


Dec 18, 2020
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa

* Project page at https://infinite-nature.github.io/ 

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MetaSDF: Meta-learning Signed Distance Functions


Jun 17, 2020
Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein

* Project website: https://vsitzmann.github.io/metasdf/ 

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Single-View View Synthesis with Multiplane Images


Apr 23, 2020
Richard Tucker, Noah Snavely


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Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination


Mar 18, 2020
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

* CVPR 2020. Project page: https://people.eecs.berkeley.edu/~pratul/lighthouse/ 

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DeepView: View Synthesis with Learned Gradient Descent


Jun 18, 2019
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, Richard Tucker

* See https://augmentedperception.github.io/deepview/ for more results, video and an interactive viewer 

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Pushing the Boundaries of View Extrapolation with Multiplane Images


May 01, 2019
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely

* Oral presentation at CVPR 2019 

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Learning the Depths of Moving People by Watching Frozen People


Apr 25, 2019
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman

* CVPR 2019 (Oral) 

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Layer-structured 3D Scene Inference via View Synthesis


Jul 26, 2018
Shubham Tulsiani, Richard Tucker, Noah Snavely

* Project url: http://shubhtuls.github.io/lsi 

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Stereo Magnification: Learning View Synthesis using Multiplane Images


May 24, 2018
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely

* Accepted to SIGGRAPH 2018. Project webpage: https://people.eecs.berkeley.edu/~tinghuiz/projects/mpi/ 

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