NTIRE 2021 challenge on video super-resolution

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

doi:10.1109/CVPRW53098.2021.00026

NTIRE 2021 challenge on video super-resolution

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

College of Computing and Data Science

Seoul National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021
Publisher	IEEE Computer Society
Pages	166-181
Number of pages	16
ISBN (Electronic)	9781665448994
DOIs	https://doi.org/10.1109/CVPRW53098.2021.00026
Publication status	Published - Jun 2021
Event	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021 - Virtual, Online, United States Duration: Jun 19 2021 → Jun 25 2021

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021
Country/Territory	United States
City	Virtual, Online
Period	6/19/21 → 6/25/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPRW53098.2021.00026

Cite this

Son, S., Lee, S., Nah, S., Timofte, R., Lee, K. M., Chan, K. C. K., Zhou, S., Xu, X., Loy, C. C., Jiang, B., Lin, C., Dong, Y., Luo, D., Chu, W., Ji, X., Yang, S., Tai, Y., Wang, C., Li, J., ... Song, L. (2021). NTIRE 2021 challenge on video super-resolution. In Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021 (pp. 166-181). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE Computer Society. https://doi.org/10.1109/CVPRW53098.2021.00026

@inproceedings{bab9252f98f441619deb66412151d40f,

title = "NTIRE 2021 challenge on video super-resolution",

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.",

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

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021 ; Conference date: 19-06-2021 Through 25-06-2021",

year = "2021",

month = jun,

doi = "10.1109/CVPRW53098.2021.00026",

language = "English",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

pages = "166--181",

booktitle = "Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021",

address = "United States",

}

Son, S, Lee, S, Nah, S, Timofte, R, Lee, KM, Chan, KCK, Zhou, S, Xu, X, Loy, CC, Jiang, B, Lin, C, Dong, Y, Luo, D, Chu, W, Ji, X, Yang, S, Tai, Y, Wang, C, Li, J, Huang, F, Chen, C, Chu, X, Zhang, J, Lu, X, Chen, L, Lin, J, Du, G, Hao, J, Zou, X, Zhang, Q, Jiang, L, Li, X, Zheng, H, Liu, F, He, D, Li, F, Dang, Q, Yi, P, Wang, Z, Jiang, K, Jiang, J, Ma, J, Chen, Y, Wang, Y, Liu, T, Sun, Q, Liang, H, Li, Y, Li, Z, Ruan, Z, Shang, F, Guo, C, Li, H, Luo, R, Shen, L, Zafirouli, K, Karageorgos, K, Konstantoudakis, K, DImou, A, Daras, P, Song, X, Zhuo, X, Liu, H, Guo, M, Li, J, Li, Y, Zhu, Y, Wang, Q, Zhao, S, Sun, X, Zhan, G, Xie, T, Jia, Y, Lu, Y, Zhang, W, Sun, M, Michelini, PN, Zhang, X, Jiang, H, Chen, Z, Chen, L, Xiong, Z, Xiao, Z, Xu, R, Cheng, Z, Fu, X, Song, F, Luo, Z, Yao, Y, Dutta, S, Shah, NA, DIpta Das, S, Zhao, P, Shi, Y, Liu, H, Shang, F, Liu, Y, Chen, F, Yu, F, Gao, R, Bai, Y, Heo, J, Yue, S, Li, C, Li, J, Zheng, Q, Gang, R, Song, R, Wee, S, Jeong, J, Li, C, Wen, G, Chai, X & Song, L 2021, NTIRE 2021 challenge on video super-resolution. in Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, pp. 166-181, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021, Virtual, Online, United States, 6/19/21. https://doi.org/10.1109/CVPRW53098.2021.00026

NTIRE 2021 challenge on video super-resolution. / Son, Sanghyun; Lee, Suyoung; Nah, Seungjun et al.
Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, 2021. p. 166-181 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - NTIRE 2021 challenge on video super-resolution

AU - Son, Sanghyun

AU - Lee, Suyoung

AU - Nah, Seungjun

AU - Timofte, Radu

AU - Lee, Kyoung Mu

AU - Chan, Kelvin C.K.

AU - Zhou, Shangchen

AU - Xu, Xiangyu

AU - Loy, Chen Change

AU - Jiang, Boyuan

AU - Lin, Chuming

AU - Dong, Yuchun

AU - Luo, Donghao

AU - Chu, Wenqing

AU - Ji, Xiaozhong

AU - Yang, Siqian

AU - Tai, Ying

AU - Wang, Chengjie

AU - Li, Jilin

AU - Huang, Feiyue

AU - Chen, Chengpeng

AU - Chu, Xiaojie

AU - Zhang, Jie

AU - Lu, Xin

AU - Chen, Liangyu

AU - Lin, Jing

AU - Du, Guodong

AU - Hao, Jia

AU - Zou, Xueyi

AU - Zhang, Qi

AU - Jiang, Lielin

AU - Li, Xin

AU - Zheng, He

AU - Liu, Fanglong

AU - He, Dongliang

AU - Li, Fu

AU - Dang, Qingqing

AU - Yi, Peng

AU - Wang, Zhongyuan

AU - Jiang, Kui

AU - Jiang, Junjun

AU - Ma, Jiayi

AU - Chen, Yuxiang

AU - Wang, Yutong

AU - Liu, Ting

AU - Sun, Qichao

AU - Liang, Huanwei

AU - Li, Yiming

AU - Li, Zekun

AU - Ruan, Zhubo

AU - Shang, Fanjie

AU - Guo, Chen

AU - Li, Haining

AU - Luo, Renjun

AU - Shen, Longjie

AU - Zafirouli, Kassiani

AU - Karageorgos, Konstantinos

AU - Konstantoudakis, Konstantinos

AU - DImou, Anastasios

AU - Daras, Petros

AU - Song, Xiaowei

AU - Zhuo, Xu

AU - Liu, Hanxi

AU - Guo, Mengxi

AU - Li, Junlin

AU - Li, Yu

AU - Zhu, Ye

AU - Wang, Qing

AU - Zhao, Shijie

AU - Sun, Xiaopeng

AU - Zhan, Gen

AU - Xie, Tangxin

AU - Jia, Yu

AU - Lu, Yunhua

AU - Zhang, Wenhao

AU - Sun, Mengdi

AU - Michelini, Pablo Navarrete

AU - Zhang, Xueheng

AU - Jiang, Hao

AU - Chen, Zhiyu

AU - Chen, Li

AU - Xiong, Zhiwei

AU - Xiao, Zeyu

AU - Xu, Ruikang

AU - Cheng, Zhen

AU - Fu, Xueyang

AU - Song, Fenglong

AU - Luo, Zhipeng

AU - Yao, Yuehan

AU - Dutta, Saikat

AU - Shah, Nisarg A.

AU - DIpta Das, Sourya

AU - Zhao, Peng

AU - Shi, Yukai

AU - Liu, Hongying

AU - Shang, Fanhua

AU - Liu, Yuanyuan

AU - Chen, Fei

AU - Yu, Fangxu

AU - Gao, Ruisheng

AU - Bai, Yixin

AU - Heo, Jeonghwan

AU - Yue, Shijie

AU - Li, Chenghua

AU - Li, Jinjing

AU - Zheng, Qian

AU - Gang, Ruipeng

AU - Song, Ruixia

AU - Wee, Seungwoo

AU - Jeong, Jechang

AU - Li, Chen

AU - Wen, Geyingjie

AU - Chai, Xinning

AU - Song, Li

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85106093106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85106093106&partnerID=8YFLogxK

U2 - 10.1109/CVPRW53098.2021.00026

DO - 10.1109/CVPRW53098.2021.00026

M3 - Conference contribution

AN - SCOPUS:85106093106

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SP - 166

EP - 181

BT - Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021

PB - IEEE Computer Society

T2 - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021

Y2 - 19 June 2021 through 25 June 2021

ER -

Son S, Lee S, Nah S, Timofte R, Lee KM, Chan KCK et al. NTIRE 2021 challenge on video super-resolution. In Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society. 2021. p. 166-181. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW53098.2021.00026

NTIRE 2021 challenge on video super-resolution

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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Cite this