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SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting


Sep 02, 2021
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu

* ICCV 2021 (Oral); Project page: https://varunjampani.github.io/slide ; Video: https://www.youtube.com/watch?v=RQio7q-ueY8 

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ViTGAN: Training GANs with Vision Transformers


Jul 09, 2021
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu


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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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COMISR: Compression-Informed Video Super-Resolution


May 04, 2021
Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar

* 14 pages, 13 figures 

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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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Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings


Apr 29, 2021
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang


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Regularizing Generative Adversarial Networks under Limited Data


Apr 07, 2021
Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang

* CVPR 2021. Project Page: https://hytseng0509.github.io/lecam-gan Code: https://github.com/google/lecam-gan 

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NeRD: Neural Reflectance Decomposition from Image Collections


Dec 08, 2020
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch


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Robust image stitching with multiple registrations


Nov 23, 2020
Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih

* ECCV 2018 

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Supervised Contrastive Learning


Apr 23, 2020
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan


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DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling


Dec 24, 2019
Kevin Karsch, Ce Liu, Sing Bing Kang

* IEEE Transactions on Pattern Analysis and Machine Intelligence Volume: 36 Issue: 11 pgs 2144-2158 (2014) 

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Depth Extraction from Video Using Non-parametric Sampling


Dec 24, 2019
Kevin Karsch, Ce Liu, Sing Bing Kang

* ECCV 2012: Computer Vision ECCV 2012: Lecture Notes in Computer Science, vol 7576 pp 775-788 
* arXiv admin note: text overlap with arXiv:2001.00987 

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Boundless: Generative Adversarial Networks for Image Extension


Aug 19, 2019
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman


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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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Smart, Sparse Contours to Represent and Edit Images


Apr 09, 2018
Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman

* Accepted to CVPR'18; Project page: contour2im.github.io 

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Adaptively Learning the Crowd Kernel


Jun 25, 2011
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, Adam Tauman Kalai

* The 28th International Conference on Machine Learning, 2011 
* 9 pages, 7 figures, Accepted to the 28th International Conference on Machine Learning (ICML), 2011 

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