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Differentiable Surface Rendering via Non-Differentiable Sampling


Aug 10, 2021
Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang

* Accepted to ICCV 2021 

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LASR: Learning Articulated Shape Reconstruction from a Monocular Video


May 06, 2021
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu

* CVPR 2021. Project page: https://lasr-google.github.io/ 

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AutoFlow: Learning a Better Training Set for Optical Flow


Apr 29, 2021
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu

* CVPR 2021 

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Learning Shape Templates with Structured Implicit Functions


Apr 12, 2019
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas Funkhouser

* 12 pages, 9 figures, 4 tables 

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Unsupervised Training for 3D Morphable Model Regression


Jun 15, 2018
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman

* Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 8377-8386 
* CVPR 2018 version with supplemental material (http://openaccess.thecvf.com/content_cvpr_2018/html/Genova_Unsupervised_Training_for_CVPR_2018_paper.html

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