학술논문
NTIRE 2021 Challenge on Video Super-Resolution
Document Type
Conference
Author
Son, Sanghyun; Lee, Suyoung; Nah, Seungjun; Timofte, Radu; Lee, Kyoung Mu; Chan, Kelvin C. K.; Zhou, Shangchen; Xu, Xiangyu; Loy, Chen Change; Jiang, Boyuan; Lin, Chuming; Dong, Yuchun; Luo, Donghao; Chu, Wenqing; Ji, Xiaozhong; Yang, Siqian; Tai, Ying; Wang, Chengjie; Li, Jilin; Huang, Feiyue; Chen, Chengpeng; Chu, Xiaojie; Zhang, Jie; Lu, Xin; Chen, Liangyu; Lin, Jing; Du, Guodong; Hao, Jia; Zou, Xueyi; Zhang, Qi; Jiang, Lielin; Li, Xin; Zheng, He; Liu, Fanglong; He, Dongliang; Li, Fu; Dang, Qingqing; Yi, Peng; Wang, Zhongyuan; Jiang, Kui; Jiang, Junjun; Ma, Jiayi; Chen, Yuxiang; Wang, Yutong; Liu, Ting; Sun, Qichao; Liang, Huanwei; Li, Yiming; Li, Zekun; Ruan, Zhubo; Shang, Fanjie; Guo, Chen; Li, Haining; Luo, Renjun; Shen, Longjie; Zafirouli, Kassiani; Karageorgos, Konstantinos; Konstantoudakis, Konstantinos; Dimou, Anastasios; Daras, Petros; Song, Xiaowei; Zhuo, Xu; Liu, Hanxi; Guo, Mengxi; Li, Junlin; Li, Yu; Zhu, Ye; Wang, Qing; Zhao, Shijie; Sun, Xiaopeng; Zhan, Gen; Xie, Tangxin; Jia, Yu; Lu, Yunhua; Zhang, Wenhao; Sun, Mengdi; Michelini, Pablo Navarrete; Zhang, Xueheng; Jiang, Hao; Chen, Zhiyu; Chen, Li; Xiong, Zhiwei; Xiao, Zeyu; Xu, Ruikang; Cheng, Zhen; Fu, Xueyang; Song, Fenglong; Luo, Zhipeng; Yao, Yuehan; Dutta, Saikat; Shah, Nisarg A.; Dipta Das, Sourya; Zhao, Peng; Shi, Yukai; Liu, Hongying; Shang, Fanhua; Liu, Yuanyuan; Chen, Fei; Yu, Fangxu; Gao, Ruisheng; Bai, Yixin; Heo, Jeonghwan; Yue, Shijie; Li, Chenghua; Li, Jinjing; Zheng, Qian; Gang, Ruipeng; Song, Ruixia; Wee, Seungwoo; Jeong, Jechang; Li, Chen; Wen, Geyingjie; Chai, Xinning; Song, Li
Source
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 IEEE/CVF Conference on. :166-181 Jun, 2021
Subject
Language
ISSN
2160-7516
Abstract
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution. We present evaluation results from two competition tracks as well as the proposed solutions. Track 1 aims to develop conventional video SR methods focusing on the restoration quality. Track 2 assumes a more challenging environment with lower frame rates, casting spatio-temporal SR problem. In each competition, 247 and 223 participants have registered, respectively. During the final testing phase, 14 teams competed in each track to achieve state-of-the-art performance on video SR tasks.