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Learning Deformable Tetrahedral Meshes for 3D Reconstruction


Nov 03, 2020
Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler

* Accepted to NeurIPS 2020 

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Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering


Oct 18, 2020
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler


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Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research


Nov 13, 2019
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler

* Kaolin is available as open-source software at https://github.com/NVIDIAGameWorks/kaolin/ 

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Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer


Aug 03, 2019
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler

* https://nv-tlabs.github.io/DIB-R/ 

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Fast Interactive Object Annotation with Curve-GCN


Mar 16, 2019
Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

* In Computer Vision and Pattern Recognition (CVPR), Long Beach, US, 2019 

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Steady-state Non-Line-of-Sight Imaging


Nov 24, 2018
Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide


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Synthesizing Training Images for Boosting Human 3D Pose Estimation


Jan 05, 2017
Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Zhenhua Wang, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen


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A Holistic Approach for Data-Driven Object Cutout


Sep 16, 2016
Huayong Xu, Yangyan Li, Wenzheng Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen


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