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NTIRE 2021 Challenge on Video Super-Resolution

Authors :
Chen Guo
Siqian Yang
Ting Liu
Kelvin C.K. Chan
Tangxin Xie
Zekun Li
Dongliang He
Shijie Zhao
Boyuan Jiang
Ye Zhu
He Zheng
Yunhua Lu
Zhubo Ruan
Yu Li
Xueyang Fu
Junlin Li
Huanwei Liang
Jinjing Li
Chengpeng Chen
Shijie Yue
Hongying Liu
Xu Zhuo
Zhongyuan Wang
Konstantinos Konstantoudakis
Guodong Du
Ruixia Song
Seungjun Nah
Fu Li
Wenhao Zhang
Ruipeng Gang
Peng Yi
Ying Tai
Xiaozhong Ji
Yutong Wang
Donghao Luo
Kyoung Mu Lee
Chengjie Wang
Jechang Jeong
Peng Zhao
Chenghua Li
Xueyi Zou
Hanxi Liu
Junjun Jiang
Pablo Navarrete Michelini
Xueheng Zhang
Renjun Luo
Sourya Dipta Das
Xiaojie Chu
Yuchun Dong
Jie Zhang
Yuanyuan Liu
Shangchen Zhou
Yu Jia
Xinning Chai
Suyoung Lee
Xin Li
Lielin Jiang
Wenqing Chu
Qing Wang
Mengdi Sun
Qian Zheng
Mengxi Guo
Liangyu Chen
Li Chen
Chen Li
Zhiwei Xiong
Fenglong Song
Jeonghwan Heo
Qi Zhang
Li Song
Yixin Bai
Konstantinos Karageorgos
Anastasios Dimou
Yuxiang Chen
Ruisheng Gao
Zeyu Xiao
Zhen Cheng
Fanhua Shang
Petros Daras
Gen Zhan
Kui Jiang
Qingqing Dang
Xiaopeng Sun
Fanglong Liu
Jiayi Ma
Xiangyu Xu
Jia Hao
Nisarg Shah
Radu Timofte
Kassiani Zafirouli
Fanjie Shang
Zhipeng Luo
Yukai Shi
Geyingjie Wen
Feiyue Huang
Haining Li
Qichao Sun
Ruikang Xu
Yiming Li
Xin Lu
Saikat Dutta
Hao Jiang
Seungwoo Wee
Jilin Li
Xiaowei Song
Yuehan Yao
Zhiyu Chen
Chuming Lin
Longjie Shen
Sanghyun Son
Jing Lin
Fangxu Yu
Fei Chen
Chen Change Loy
Source :
CVPR Workshops
Publication Year :
2021
Publisher :
IEEE, 2021.

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.

Details

Database :
OpenAIRE
Journal :
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Accession number :
edsair.doi...........af8040dbb00e915d5b4f76692166a42f