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Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning


Oct 09, 2021
Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, Chao Dong

* 13 pages, 10 figures 

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Towards Vivid and Diverse Image Colorization with Generative Color Prior


Aug 19, 2021
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan

* ICCV 2021 

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Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data


Aug 17, 2021
Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan

* Tech Report. Training/testing codes and executable files are in https://github.com/xinntao/Real-ESRGAN 

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Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution


Aug 02, 2021
Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan

* Tech report 

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Robust Reference-based Super-Resolution via C2-Matching


Jun 03, 2021
Yuming Jiang, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu

* To appear in CVPR2021. The source code is available at https://github.com/yumingj/C2-Matching 

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Towards Real-World Blind Face Restoration with Generative Facial Prior


Jan 11, 2021
Xintao Wang, Yu Li, Honglun Zhang, Ying Shan

* Technical report, 11 pages, 8 figures 

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Positional Encoding as Spatial Inductive Bias in GANs


Dec 09, 2020
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy

* paper with appendix, project page: https://nbei.github.io/gan-pos-encoding.html 

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BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond


Dec 03, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

* Tech report, 15 pages, 15 figures 

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GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution


Dec 01, 2020
Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy

* Tech report, 19 pages, 19 figures. A high-resolution version of this paper can be found at https://ckkelvinchan.github.io/ 

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Understanding Deformable Alignment in Video Super-Resolution


Sep 15, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

* Tech report, 15 pages, 19 figures 

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EDVR: Video Restoration with Enhanced Deformable Convolutional Networks


May 07, 2019
Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy

* To appear in CVPR 2019 Workshop. The winners in all four tracks in the NTIRE 2019 video restoration and enhancement challenges. Project page: https://xinntao.github.io/projects/EDVR , Code: https://github.com/xinntao/EDVR 

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Path-Restore: Learning Network Path Selection for Image Restoration


Apr 23, 2019
Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy

* Project page: https://yuke93.github.io/Path-Restore/ 

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Deep Network Interpolation for Continuous Imagery Effect Transition


Nov 26, 2018
Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy

* Technical report 

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ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks


Sep 17, 2018
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang

* To appear in ECCV 2018 workshop. Won Region 3 in the PIRM2018-SR Challenge. Code and models are at https://github.com/xinntao/ESRGAN 

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Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform


Apr 09, 2018
Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

* This work is accepted in CVPR 2018. Our project page is http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/ 

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