NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
2018pp. 965–96511
Citations Over TimeTop 1% of 2018 papers
Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool, Lei Zhang, Shuicheng Yan, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Shijia Hu, Yijie Bei, Hui Zheng, Jiang Xiao, Yanan Gu, Jie Liu, Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine‐Hornung, Olga Sorkine‐Hornung, Christopher Schroers, Jiahui Yu, Yuchen Fan, Shuicheng Yan, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang, Xintao Wang, Ke Yu, Tak-Wai Hui, Chao Dong, Liang Lin, Chen Change Loy, Park Dongwon, Kwanyoung Kim, Se Young Chun, Kai Zhang, P.K. Liu, Wangmeng Zuo, Shi Guo, Jiye Liu, Jinchang Xu, YI-JIAO LIU, Fengye Xiong, Yuan Dong, Hongliang Bai, Alexandru Damian, Nikhil Ravi, Sachit Menon, Cynthia Rudin, Junghoon Seo, Taegyun Jeon, Jamyoung Koo, Seunghyun Jeon, Soo Ye Kim, Jae-Seok Choi, Sehwan Ki, Soomin Seo, Hyeonjun Sim, Saehun Kim, Munchurl Kim, Rong Chen, Kun Zeng, Jinkang Guo, Yanyun Qu, Cuihua Li, Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn, Yuan Yuan, Jiawei Zhang, Jiahao Pang, Xiangyu Xu, Shuicheng Yan, Wei Deng, Sibt ul Hussain, Muneeb Aadil, Rafia Rahim, Xiaowang Cai, Fang Huang, Yueshu Xu, Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu, Jun-Hyuk Kim, Jong‐Seok Lee, Yi‐Wen Huang, Ming Qiu, Liting Jing, Jiehang Zeng, Ying Wang, Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury, Zhe Zhang, Yu Hen Hu, Lingzhi Fu
Abstract
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were learnable through provided pairs of low and high resolution train images. The tracks had 145, 114, 101, and 113 registered participants, resp., and 31 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
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