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 | 10431 | 2015 |
Learning a deep convolutional network for image super-resolution C Dong, CC Loy, K He, X Tang Computer Vision¡VECCV 2014: 13th European Conference, Zurich, Switzerland ¡K, 2014 | 6566 | 2014 |
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) workshops, 0-0, 2018 | 4863 | 2018 |
Accelerating the super-resolution convolutional neural network C Dong, CC Loy, X Tang Computer Vision¡VECCV 2016: 14th European Conference, Amsterdam, The ¡K, 2016 | 4022 | 2016 |
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 ¡K, 2017 | 2156 | 2017 |
Real-esrgan: Training real-world blind super-resolution with pure synthetic data X Wang, L Xie, C Dong, Y Shan Proceedings of the IEEE/CVF international conference on computer vision ¡K, 2021 | 1224 | 2021 |
Edvr: Video restoration with enhanced deformable convolutional networks X Wang, KCK Chan, K Yu, C Dong, C Change Loy Proceedings of the IEEE/CVF conference on computer vision and pattern ¡K, 2019 | 1208 | 2019 |
Recovering realistic texture in image super-resolution by deep spatial feature transform X Wang, K Yu, C Dong, CC Loy Proceedings of the IEEE conference on computer vision and pattern ¡K, 2018 | 1201 | 2018 |
Compression artifacts reduction by a deep convolutional network C Dong, Y Deng, CC Loy, X Tang Proceedings of the IEEE international conference on computer vision, 576-584, 2015 | 993 | 2015 |
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 ¡K, 2018 | 829 | 2018 |
Blind super-resolution with iterative kernel correction J Gu, H Lu, W Zuo, C Dong Proceedings of the IEEE/CVF conference on computer vision and pattern ¡K, 2019 | 611 | 2019 |
Basicvsr: The search for essential components in video super-resolution and beyond KCK Chan, X Wang, K Yu, C Dong, CC Loy Proceedings of the IEEE/CVF conference on computer vision and pattern ¡K, 2021 | 527 | 2021 |
Ranksrgan: Generative adversarial networks with ranker for image super-resolution W Zhang, Y Liu, C Dong, Y Qiao Proceedings of the IEEE/CVF international conference on computer vision ¡K, 2019 | 421 | 2019 |
Efficient image super-resolution using pixel attention H Zhao, X Kong, J He, Y Qiao, C Dong Computer Vision¡VECCV 2020 Workshops: Glasgow, UK, August 23¡V28, 2020 ¡K, 2020 | 412 | 2020 |
Multiple cycle-in-cycle generative adversarial networks for unsupervised image super-resolution Y Zhang, S Liu, C Dong, X Zhang, Y Yuan IEEE transactions on Image Processing 29, 1101-1112, 2019 | 281 | 2019 |
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 | 270 | 2018 |
Interpreting super-resolution networks with local attribution maps J Gu, C Dong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡K, 2021 | 237 | 2021 |
Crafting a toolchain for image restoration by deep reinforcement learning K Yu, C Dong, L Lin, CC Loy Proceedings of the IEEE conference on computer vision and pattern ¡K, 2018 | 226 | 2018 |
Video super-resolution based on deep learning: a comprehensive survey H Liu, Z Ruan, P Zhao, C Dong, F Shang, Y Liu, L Yang, R Timofte Artificial Intelligence Review 55 (8), 5981-6035, 2022 | 211 | 2022 |
Classsr: A general framework to accelerate super-resolution networks by data characteristic X Kong, H Zhao, Y Qiao, C Dong Proceedings of the IEEE/CVF conference on computer vision and pattern ¡K, 2021 | 186 | 2021 |