Chao Dong
TitleCited byYear
Image super-resolution using deep convolutional networks
C Dong, CC Loy, K He, X Tang
IEEE transactions on pattern analysis and machine intelligence 38 (2), 295-307, 2015
26332015
Learning a deep convolutional network for image super-resolution
C Dong, CC Loy, K He, X Tang
European conference on computer vision, 184-199, 2014
19992014
Accelerating the super-resolution convolutional neural network
C Dong, CC Loy, X Tang
European conference on computer vision, 391-407, 2016
7642016
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern íK, 2017
3202017
Compression artifacts reduction by a deep convolutional network
C Dong, Y Deng, C Change Loy, X Tang
Proceedings of the IEEE International Conference on Computer Vision, 576-584, 2015
3202015
Esrgan: Enhanced super-resolution generative adversarial networks
X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
2182018
Recovering realistic texture in image super-resolution by deep spatial feature transform
X Wang, K Yu, C Dong, C Change Loy
Proceedings of the IEEE conference on computer vision and pattern íK, 2018
1142018
Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Y Yuan, S Liu, J Zhang, Y Zhang, C Dong, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2018
452018
Crafting a toolchain for image restoration by deep reinforcement learning
K Yu, C Dong, L Lin, C Change Loy
Proceedings of the IEEE conference on computer vision and pattern íK, 2018
402018
Deep convolution networks for compression artifacts reduction
K Yu, C Dong, CC Loy, X Tang
arXiv preprint arXiv:1608.02778, 2016
392016
Beautygan: Instance-level facial makeup transfer with deep generative adversarial network
T Li, R Qian, C Dong, S Liu, Q Yan, W Zhu, L Lin
Proceedings of the 26th ACM international conference on Multimedia, 645-653, 2018
282018
Pirm challenge on perceptual image enhancement on smartphones: Report
A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ...
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
272018
Boosting optical character recognition: A super-resolution approach
C Dong, X Zhu, Y Deng, CC Loy, Y Qiao
arXiv preprint arXiv:1506.02211, 2015
132015
Blind super-resolution with iterative kernel correction
J Gu, H Lu, W Zuo, C Dong
Proceedings of the IEEE conference on computer vision and pattern íK, 2019
112019
Edvr: Video restoration with enhanced deformable convolutional networks
X Wang, KCK Chan, K Yu, C Dong, C Change Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2019
92019
Path-restore: Learning network path selection for image restoration
K Yu, X Wang, C Dong, X Tang, CC Loy
arXiv preprint arXiv:1904.10343, 2019
72019
Deep network interpolation for continuous imagery effect transition
X Wang, K Yu, C Dong, X Tang, CC Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2019
62019
Ranksrgan: Generative adversarial networks with ranker for image super-resolution
W Zhang, Y Liu, C Dong, Y Qiao
Proceedings of the IEEE International Conference on Computer Vision, 3096-3105, 2019
52019
Modulating image restoration with continual levels via adaptive feature modification layers
J He, C Dong, Y Qiao
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2019
52019
Method and a system for image processing
X Tang, C Dong, TW Hui, CC Loy
US Patent App. 16/013,886, 2018
42018
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