학술논문
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
Document Type
Conference
Author
Wang, Longguang; Guo, Yulan; Wang, Yingqian; Li, Juncheng; Gu, Shuhang; Timofte, Radu; Chen, Liangyu; Chu, Xiaojie; Yu, Wenqing; Jin, Kai; Wei, Zeqiang; Guo, Sha; Yang, Angulia; Zhou, Xiuzhuang; Guo, Guodong; Dai, Bin; Peng, Feiyue; Xiao, Huaxin; Yan, Shen; Liu, Yuxiang; Cai, Hanxiao; Cao, Pu; Nie, Yang; Yang, Lu; Song, Qing; Hu, Xiaotao; Xu, Jun; Xu, Mai; Jing, Junpeng; Deng, Xin; Xing, Qunliang; Qiao, Minglang; Guan, Zhenyu; Guo, Wenlong; Peng, Chenxu; Chen, Zan; Chen, Junyang; Li, Hao; Chen, Junbin; Li, Weijie; Yang, Zhijing; Li, Gen; Li, Aijin; Sun, Lei; Zhang, Dafeng; Liu, Shizhuo; Zhang, Jiangtao; Qu, Yanyun; Yang, Hao-Hsiang; Huang, Zhi-Kai; Chen, Wei-Ting; Chang, Hua-En; Kuo, Sy-Yen; Liang, Qiaohui; Lin, Jianxin; Wang, Yijun; Yin, Lianying; Zhang, Rongju; Zhao, Wei; Xiao, Peng; Xu, Rongjian; Zhang, Zhilu; Zuo, Wangmeng; Guo, Hansheng; Gao, Guangwei; Zeng, Tieyong; Pi, Huicheng; Zhang, Shunli; Kim, Joohyeok; Kim, HyeonA; Park, Eunpil; Sim, Jae-Young; Zhai, Jucai; Zeng, Pengcheng; Liu, Yang; Ma, Chihao; Huang, Yulin; Chen, Junying
Source
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 IEEE/CVF Conference on. :905-918 Jun, 2022
Subject
Language
ISSN
2160-7516
Abstract
In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. Among those participants, 20 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR.