AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results-Reference-Cited by-同舟云学术

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Published:2020 Issue: Volume: Page:392-422
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020 Workshops
language:
Short-container-title:

Author:

Wei Pengxu,Lu Hannan,Timofte Radu,Lin Liang,Zuo Wangmeng,Pan Zhihong,Li Baopu,Xi Teng,Fan Yanwen,Zhang Gang,Liu Jingtuo,Han Junyu,Ding Errui,Xie Tangxin,Cao Liang,Zou Yan,Shen Yi,Zhang Jialiang,Jia Yu,Cheng Kaihua,Wu Chenhuan,Lin Yue,Liu Cen,Peng Yunbo,Zou Xueyi,Luo Zhipeng,Yao Yuehan,Xu Zhenyu,Zamir Syed Waqas,Arora Aditya,Khan Salman,Hayat Munawar,Khan Fahad Shahbaz,Ahn Keon-Hee,Kim Jun-Hyuk,Choi Jun-Ho,Lee Jong-Seok,Zhao Tongtong,Zhao Shanshan,Han Yoseob,Kim Byung-Hoon,Baek JaeHyun,Wu Haoning,Xu Dejia,Zhou Bo,Guan Wei,Li Xiaobo,Ye Chen,Li Hao,Zhong Haoyu,Shi Yukai,Yang Zhijing,Yang Xiaojun,Zhong Haoyu,Li Xin,Jin Xin,Wu Yaojun,Pang Yingxue,Liu Sen,Liu Zhi-Song,Wang Li-Wen,Li Chu-Tak,Cani Marie-Paule,Siu Wan-Chi,Zhou Yuanbo,Umer Rao Muhammad,Micheloni Christian,Cong Xiaofeng,Gupta Rajat,Ahn Keon-Hee,Kim Jun-Hyuk,Choi Jun-Ho,Lee Jong-Seok,Almasri Feras,Vandamme Thomas,Debeir Olivier

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67070-2_24

Reference55 articles.

1. Anwar, S., Barnes, N.: Densely residual laplacian super-resolution. arXiv preprint arXiv:1906.12021 (2019)

2. Barron, J.T.: A general and adaptive robust loss function. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4331–4339 (2019)

3. Cai, J., Gu, S., Timofte, R., Zhang, L.: Ntire 2019 challenge on real image super-resolution: methods and results. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2019

4. Cai, J., Zeng, H., Yong, H., Cao, Z., Zhang, L.: Toward real-world single image super-resolution: a new benchmark and a new model. In: International Conference on Computer Vision (2019)

5. Chen, C., Xiong, Z., Tian, X., Zha, Z., Wu, F.: Camera lens super-resolution. In: IEEE Conference on Computer Vision and Pattern Recognition. pp. 1652–1660 (2019)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Various Degradation: Dual Cross-Refinement Transformer for Blind Sonar Image Super-Resolution;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Learning Distortion Invariant Representation for Image Restoration from a Causality Perspective;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. HST: Hierarchical Swin Transformer for Compressed Image Super-Resolution;Lecture Notes in Computer Science;2023

5. A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2022-06