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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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DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

Apr 02, 2019
Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec


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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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3D Bounding Box Estimation Using Deep Learning and Geometry

Apr 10, 2017
Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka

* To appear in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 

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Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons

Jul 21, 2016
Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan Yuille

* To appear, in ECCV 2016 (18 pages, 4 figures) 

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DeepStereo: Learning to Predict New Views from the World's Imagery

Jun 22, 2015
John Flynn, Ivan Neulander, James Philbin, Noah Snavely

* Video showing additional results available at http://youtu.be/cizgVZ8rjKA 

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Representing Data by a Mixture of Activated Simplices

Dec 12, 2014
Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille


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