NTIRE 2019 challenge on video super-resolution: Methods and results

Seungjun Nah; Radu Timofte; Shuhang Gu; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son; Kyoung Mu Lee; Xintao Wang; Kelvin C.K. Chan; Ke Yu; Chao Dong; Chen Change Loy; Yuchen Fan; Jiahui Yu; DIng Liu; Thomas S. Huang; Xiao Liu; Chao Li; Dongliang He; Yukang DIng; Shilei Wen; Fatih Porikli; Ratheesh Kalarot; Muhammad Haris; Greg Shakhnarovich; Norimichi Ukita; Peng Yi; Zhongyuan Wang; Kui Jiang; Junjun Jiang; Jiayi Ma; Hang Dong; Xinyi Zhang; Zhe Hu; Kwanyoung Kim; Dong Un Kang; Se Young Chun; Kuldeep Purohit; A. N. Rajagopalan; Yapeng Tian; Yulun Zhang; Yun Fu; Chenliang Xu; A. Murat Tekalp; M. Akin Yilmaz; Cansu Korkmaz; Manoj Sharma; Megh Makwana; Anuj Badhwar; Ajay Pratap Singh; Avinash Upadhyay; Rudrabha Mukhopadhyay; Ankit Shukla; Dheeraj Khanna; A. S. Mandal; Santanu Chaudhury; Si Miao; Yongxin Zhu; Xiao Huo

doi:10.1109/CVPRW.2019.00250

NTIRE 2019 challenge on video super-resolution: Methods and results

Seungjun Nah
, Radu Timofte
, Shuhang Gu
, Sungyong Baik
, Seokil Hong
, Gyeongsik Moon
, Sanghyun Son
, Kyoung Mu Lee
, Xintao Wang
, Kelvin C.K. Chan
, Ke Yu
, Chao Dong
, Chen Change Loy
, Yuchen Fan
, Jiahui Yu
, DIng Liu
, Thomas S. Huang
, Xiao Liu
, Chao Li
, Dongliang He

Yukang DIng, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwanyoung Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, A. Murat Tekalp, M. Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo

Seoul National University
Swiss Federal Institute of Technology Zurich
Chinese University of Hong Kong
Nanyang Technological University
Shenzhen Institute of Advanced Technology
University of Illinois at Urbana-Champaign
Baidu Inc
O-Lab
Toyota Technological Institute
Toyota Technological Institute at Chicago
National Engineering Research Center for Multimedia Software
Xi'an Jiaotong University
Hikvision Research
Ulsan National Institute of Science and Technology
Indian Institute of Technology Madras
University of Rochester
Northeastern University
Koc University
Delhi Technological University
CAS - Shanghai Advanced Research Institute

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

43 Scopus citations

Abstract

This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.

Original language	English
Title of host publication	Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
Publisher	IEEE Computer Society
Pages	1985-1995
Number of pages	11
ISBN (Electronic)	9781728125060
DOIs	https://doi.org/10.1109/CVPRW.2019.00250
State	Published - Jun 2019
Externally published	Yes
Event	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 - Long Beach, United States Duration: 16 Jun 2019 → 20 Jun 2019

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2019-June
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019
Country/Territory	United States
City	Long Beach
Period	16/06/19 → 20/06/19

Access to Document

10.1109/CVPRW.2019.00250

Cite this

Nah, S., Timofte, R., Gu, S., Baik, S., Hong, S., Moon, G., Son, S., Lee, K. M., Wang, X., Chan, K. C. K., Yu, K., Dong, C., Loy, C. C., Fan, Y., Yu, J., Liu, DI., Huang, T. S., Liu, X., Li, C., ... Huo, X. (2019). NTIRE 2019 challenge on video super-resolution: Methods and results. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 1985-1995). Article 9025527 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2019.00250

@inproceedings{c5511e5511da4e1aa6e5991c8345d596,

title = "NTIRE 2019 challenge on video super-resolution: Methods and results",

abstract = "This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.",

author = "Seungjun Nah and Radu Timofte and Shuhang Gu and Sungyong Baik and Seokil Hong and Gyeongsik Moon and Sanghyun Son and Lee, \{Kyoung Mu\} and Xintao Wang and Chan, \{Kelvin C.K.\} and Ke Yu and Chao Dong and Loy, \{Chen Change\} and Yuchen Fan and Jiahui Yu and DIng Liu and Huang, \{Thomas S.\} and Xiao Liu and Chao Li and Dongliang He and Yukang DIng and Shilei Wen and Fatih Porikli and Ratheesh Kalarot and Muhammad Haris and Greg Shakhnarovich and Norimichi Ukita and Peng Yi and Zhongyuan Wang and Kui Jiang and Junjun Jiang and Jiayi Ma and Hang Dong and Xinyi Zhang and Zhe Hu and Kwanyoung Kim and Kang, \{Dong Un\} and Chun, \{Se Young\} and Kuldeep Purohit and Rajagopalan, \{A. N.\} and Yapeng Tian and Yulun Zhang and Yun Fu and Chenliang Xu and Tekalp, \{A. Murat\} and Yilmaz, \{M. Akin\} and Cansu Korkmaz and Manoj Sharma and Megh Makwana and Anuj Badhwar and Singh, \{Ajay Pratap\} and Avinash Upadhyay and Rudrabha Mukhopadhyay and Ankit Shukla and Dheeraj Khanna and Mandal, \{A. S.\} and Santanu Chaudhury and Si Miao and Yongxin Zhu and Xiao Huo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 ; Conference date: 16-06-2019 Through 20-06-2019",

year = "2019",

month = jun,

doi = "10.1109/CVPRW.2019.00250",

language = "英语",

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

publisher = "IEEE Computer Society",

pages = "1985--1995",

booktitle = "Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019",

address = "美国",

}

Nah, S, Timofte, R, Gu, S, Baik, S, Hong, S, Moon, G, Son, S, Lee, KM, Wang, X, Chan, KCK, Yu, K, Dong, C, Loy, CC, Fan, Y, Yu, J, Liu, DI, Huang, TS, Liu, X, Li, C, He, D, DIng, Y, Wen, S, Porikli, F, Kalarot, R, Haris, M, Shakhnarovich, G, Ukita, N, Yi, P, Wang, Z, Jiang, K , Jiang, J, Ma, J, Dong, H, Zhang, X, Hu, Z, Kim, K, Kang, DU, Chun, SY, Purohit, K, Rajagopalan, AN, Tian, Y, Zhang, Y, Fu, Y, Xu, C, Tekalp, AM, Yilmaz, MA, Korkmaz, C, Sharma, M, Makwana, M, Badhwar, A, Singh, AP, Upadhyay, A, Mukhopadhyay, R, Shukla, A, Khanna, D, Mandal, AS, Chaudhury, S, Miao, S, Zhu, Y & Huo, X 2019, NTIRE 2019 challenge on video super-resolution: Methods and results. in Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019., 9025527, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019-June, IEEE Computer Society, pp. 1985-1995, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, Long Beach, United States, 16/06/19. https://doi.org/10.1109/CVPRW.2019.00250

NTIRE 2019 challenge on video super-resolution: Methods and results. / Nah, Seungjun; Timofte, Radu; Gu, Shuhang et al.
Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, 2019. p. 1985-1995 9025527 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June).

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

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T2 - 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019

AU - Nah, Seungjun

AU - Timofte, Radu

AU - Gu, Shuhang

AU - Baik, Sungyong

AU - Hong, Seokil

AU - Moon, Gyeongsik

AU - Son, Sanghyun

AU - Lee, Kyoung Mu

AU - Wang, Xintao

AU - Chan, Kelvin C.K.

AU - Yu, Ke

AU - Dong, Chao

AU - Loy, Chen Change

AU - Fan, Yuchen

AU - Yu, Jiahui

AU - Liu, DIng

AU - Huang, Thomas S.

AU - Liu, Xiao

AU - Li, Chao

AU - He, Dongliang

AU - DIng, Yukang

AU - Wen, Shilei

AU - Porikli, Fatih

AU - Kalarot, Ratheesh

AU - Haris, Muhammad

AU - Shakhnarovich, Greg

AU - Ukita, Norimichi

AU - Yi, Peng

AU - Wang, Zhongyuan

AU - Jiang, Kui

AU - Jiang, Junjun

AU - Ma, Jiayi

AU - Dong, Hang

AU - Zhang, Xinyi

AU - Hu, Zhe

AU - Kim, Kwanyoung

AU - Kang, Dong Un

AU - Chun, Se Young

AU - Purohit, Kuldeep

AU - Rajagopalan, A. N.

AU - Tian, Yapeng

AU - Zhang, Yulun

AU - Fu, Yun

AU - Xu, Chenliang

AU - Tekalp, A. Murat

AU - Yilmaz, M. Akin

AU - Korkmaz, Cansu

AU - Sharma, Manoj

AU - Makwana, Megh

AU - Badhwar, Anuj

AU - Singh, Ajay Pratap

AU - Upadhyay, Avinash

AU - Mukhopadhyay, Rudrabha

AU - Shukla, Ankit

AU - Khanna, Dheeraj

AU - Mandal, A. S.

AU - Chaudhury, Santanu

AU - Miao, Si

AU - Zhu, Yongxin

AU - Huo, Xiao

PY - 2019/6

Y1 - 2019/6

N2 - This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.

AB - This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.

UR - https://www.scopus.com/pages/publications/85083297271

U2 - 10.1109/CVPRW.2019.00250

DO - 10.1109/CVPRW.2019.00250

M3 - 会议稿件

AN - SCOPUS:85083297271

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

SP - 1985

EP - 1995

BT - Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019

PB - IEEE Computer Society

Y2 - 16 June 2019 through 20 June 2019

ER -

Nah S, Timofte R, Gu S, Baik S, Hong S, Moon G et al. NTIRE 2019 challenge on video super-resolution: Methods and results. In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society. 2019. p. 1985-1995. 9025527. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW.2019.00250

NTIRE 2019 challenge on video super-resolution: Methods and results

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