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SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

Oct 20, 2020
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey

* Accepted to NeurIPS 2020. Project page & code: https://chenhsuanlin.bitbucket.io/signed-distance-SRN/ 

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Deep NRSfM++: Towards 3D Reconstruction in the Wild

Jan 27, 2020
Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey


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Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

Mar 20, 2019
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey

* Accepted to CVPR 2019 (project page & code: https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

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ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Mar 05, 2018
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey

* Accepted to CVPR 2018 (website & code: https://chenhsuanlin.bitbucket.io/spatial-transformer-GAN/

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Semantic Photometric Bundle Adjustment on Natural Sequences

Nov 30, 2017
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey


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Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Nov 04, 2017
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey


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Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

Jun 21, 2017
Chen-Hsuan Lin, Chen Kong, Simon Lucey


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Deep-LK for Efficient Adaptive Object Tracking

May 30, 2017
Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey


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Inverse Compositional Spatial Transformer Networks

Dec 12, 2016
Chen-Hsuan Lin, Simon Lucey


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The Conditional Lucas & Kanade Algorithm

Mar 29, 2016
Chen-Hsuan Lin, Rui Zhu, Simon Lucey

* 17 pages, 11 figures 

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