PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong
The European Conference on Computer Vision (ECCV), 2020
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao
International Conference on Computer Vision, oral (ICCV oral), 2019
Suppressing Model Overfitting for Image Super-Resolution Networks
Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
Computer Vision and Pattern Recognition, NTIRE Workshop (CVPRW), 2019
Blind Super-Resolution With Iterative Kernel Correction
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2019
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy
The European Conference on Computer Vision Workshop (ECCVW), 2018
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
Ke Yu, Chao Dong, Liang Lin, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2018
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin
Computer Vision and Pattern Recognition, NTIRE Workshop (CVPRW), 2018
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong, Chen Change Loy, Xiaoou Tang
The European Conference on Computer Vision (ECCV), 2016
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016
Learning a Deep Convolutional Network for Image Super-Resolution
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
The European Conference on Computer Vision (ECCV), 2014
Latest Papers
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PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
-
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
-
Suppressing Model Overfitting for Image Super-Resolution Networks
-
Blind Super-Resolution With Iterative Kernel Correction
-
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
