AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; Errui Ding; Tangxin Xie; Liang Cao; Yan Zou; Yi Shen; Jialiang Zhang; Yu Jia; Kaihua Cheng; Chenhuan Wu; Yue Lin; Cen Liu; Yunbo Peng; Xueyi Zou; Zhipeng Luo; Yuehan Yao; Zhenyu Xu; Syed Waqas Zamir; Aditya Arora; Salman Khan; Munawar Hayat; Fahad Shahbaz Khan; Keon Hee Ahn; Jun Hyuk Kim; Jun Ho Choi; Jong Seok Lee; Tongtong Zhao; Shanshan Zhao; Yoseob Han; Byung Hoon Kim; Jae Hyun Baek; Haoning Wu; Dejia Xu; Bo Zhou; Wei Guan; Xiaobo Li; Chen Ye; Hao Li; Haoyu Zhong; Yukai Shi; Zhijing Yang; Xiaojun Yang; Xin Li; Xin Jin; Yaojun Wu; Yingxue Pang; Sen Liu; Zhi Song Liu; Li Wen Wang; Chu Tak Li; Marie Paule Cani; Wan Chi Siu; Yuanbo Zhou; Rao Muhammad Umer; Christian Micheloni; Xiaofeng Cong; Rajat Gupta; Keon Hee Ahn; Jun Hyuk Kim; Jun Ho Choi; Jong Seok Lee; Feras Almasri; Thomas Vandamme; Olivier Debeir

doi:10.1007/978-3-030-67070-2_24

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua ChengChenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon Hee Ahn, Jun Hyuk Kim, Jun Ho Choi, Jong Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung Hoon Kim, Jae Hyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi Song Liu, Li Wen Wang, Chu Tak Li, Marie Paule Cani, Wan Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon Hee Ahn, Jun Hyuk Kim, Jun Ho Choi, Jong Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir

School of Integrated Technology

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

21 Citations (Scopus)

Abstract

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for × 2, × 3 and × 4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

Original language	English
Title of host publication	Computer Vision – ECCV 2020 Workshops, Proceedings
Editors	Adrien Bartoli, Andrea Fusiello
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	392-422
Number of pages	31
ISBN (Print)	9783030670696
DOIs	https://doi.org/10.1007/978-3-030-67070-2_24
Publication status	Published - 2020
Event	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, United Kingdom Duration: 2020 Aug 23 → 2020 Aug 28

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12537 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
Country/Territory	United Kingdom
City	Glasgow
Period	20/8/23 → 20/8/28

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-67070-2_24

Cite this

Wei, P., Lu, H., Timofte, R., Lin, L., Zuo, W., Pan, Z., Li, B., Xi, T., Fan, Y., Zhang, G., Liu, J., Han, J., Ding, E., Xie, T., Cao, L., Zou, Y., Shen, Y., Zhang, J., Jia, Y., ... Debeir, O. (2020). AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops, Proceedings (pp. 392-422). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12537 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-67070-2_24

Wei, Pengxu ; Lu, Hannan ; Timofte, Radu et al. / AIM 2020 Challenge on Real Image Super-Resolution : Methods and Results. Computer Vision – ECCV 2020 Workshops, Proceedings. editor / Adrien Bartoli ; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. pp. 392-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{db22cc75b6334b0eac59273b1dc51bc6,

title = "AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results",

abstract = "This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for × 2, × 3 and × 4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.",

author = "Pengxu Wei and Hannan Lu and Radu Timofte and Liang Lin and Wangmeng Zuo and Zhihong Pan and Baopu Li and Teng Xi and Yanwen Fan and Gang Zhang and Jingtuo Liu and Junyu Han and Errui Ding and Tangxin Xie and Liang Cao and Yan Zou and Yi Shen and Jialiang Zhang and Yu Jia and Kaihua Cheng and Chenhuan Wu and Yue Lin and Cen Liu and Yunbo Peng and Xueyi Zou and Zhipeng Luo and Yuehan Yao and Zhenyu Xu and Zamir, {Syed Waqas} and Aditya Arora and Salman Khan and Munawar Hayat and Khan, {Fahad Shahbaz} and Ahn, {Keon Hee} and Kim, {Jun Hyuk} and Choi, {Jun Ho} and Lee, {Jong Seok} and Tongtong Zhao and Shanshan Zhao and Yoseob Han and Kim, {Byung Hoon} and Baek, {Jae Hyun} and Haoning Wu and Dejia Xu and Bo Zhou and Wei Guan and Xiaobo Li and Chen Ye and Hao Li and Haoyu Zhong and Yukai Shi and Zhijing Yang and Xiaojun Yang and Xin Li and Xin Jin and Yaojun Wu and Yingxue Pang and Sen Liu and Liu, {Zhi Song} and Wang, {Li Wen} and Li, {Chu Tak} and Cani, {Marie Paule} and Siu, {Wan Chi} and Yuanbo Zhou and Umer, {Rao Muhammad} and Christian Micheloni and Xiaofeng Cong and Rajat Gupta and Ahn, {Keon Hee} and Kim, {Jun Hyuk} and Choi, {Jun Ho} and Lee, {Jong Seok} and Feras Almasri and Thomas Vandamme and Olivier Debeir",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",

year = "2020",

doi = "10.1007/978-3-030-67070-2_24",

language = "English",

isbn = "9783030670696",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "392--422",

editor = "Adrien Bartoli and Andrea Fusiello",

booktitle = "Computer Vision – ECCV 2020 Workshops, Proceedings",

address = "Germany",

}

Wei, P, Lu, H, Timofte, R, Lin, L, Zuo, W, Pan, Z, Li, B, Xi, T, Fan, Y, Zhang, G, Liu, J, Han, J, Ding, E, Xie, T, Cao, L, Zou, Y, Shen, Y, Zhang, J, Jia, Y, Cheng, K, Wu, C, Lin, Y, Liu, C, Peng, Y, Zou, X, Luo, Z, Yao, Y, Xu, Z, Zamir, SW, Arora, A, Khan, S, Hayat, M, Khan, FS, Ahn, KH, Kim, JH, Choi, JH, Lee, JS, Zhao, T, Zhao, S, Han, Y, Kim, BH, Baek, JH, Wu, H, Xu, D, Zhou, B, Guan, W, Li, X, Ye, C, Li, H, Zhong, H, Shi, Y, Yang, Z, Yang, X, Li, X, Jin, X, Wu, Y, Pang, Y, Liu, S, Liu, ZS, Wang, LW, Li, CT, Cani, MP, Siu, WC, Zhou, Y, Umer, RM, Micheloni, C, Cong, X, Gupta, R, Ahn, KH, Kim, JH, Choi, JH, Lee, JS, Almasri, F, Vandamme, T & Debeir, O 2020, AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. in A Bartoli & A Fusiello (eds), Computer Vision – ECCV 2020 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12537 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 392-422, Workshops held at the 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 20/8/23. https://doi.org/10.1007/978-3-030-67070-2_24

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. / Wei, Pengxu; Lu, Hannan; Timofte, Radu et al.
Computer Vision – ECCV 2020 Workshops, Proceedings. ed. / Adrien Bartoli; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. p. 392-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12537 LNCS).

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

TY - GEN

T1 - AIM 2020 Challenge on Real Image Super-Resolution

T2 - Workshops held at the 16th European Conference on Computer Vision, ECCV 2020

AU - Wei, Pengxu

AU - Lu, Hannan

AU - Timofte, Radu

AU - Lin, Liang

AU - Zuo, Wangmeng

AU - Pan, Zhihong

AU - Li, Baopu

AU - Xi, Teng

AU - Fan, Yanwen

AU - Zhang, Gang

AU - Liu, Jingtuo

AU - Han, Junyu

AU - Ding, Errui

AU - Xie, Tangxin

AU - Cao, Liang

AU - Zou, Yan

AU - Shen, Yi

AU - Zhang, Jialiang

AU - Jia, Yu

AU - Cheng, Kaihua

AU - Wu, Chenhuan

AU - Lin, Yue

AU - Liu, Cen

AU - Peng, Yunbo

AU - Zou, Xueyi

AU - Luo, Zhipeng

AU - Yao, Yuehan

AU - Xu, Zhenyu

AU - Zamir, Syed Waqas

AU - Arora, Aditya

AU - Khan, Salman

AU - Hayat, Munawar

AU - Khan, Fahad Shahbaz

AU - Ahn, Keon Hee

AU - Kim, Jun Hyuk

AU - Choi, Jun Ho

AU - Lee, Jong Seok

AU - Zhao, Tongtong

AU - Zhao, Shanshan

AU - Han, Yoseob

AU - Kim, Byung Hoon

AU - Baek, Jae Hyun

AU - Wu, Haoning

AU - Xu, Dejia

AU - Zhou, Bo

AU - Guan, Wei

AU - Li, Xiaobo

AU - Ye, Chen

AU - Li, Hao

AU - Zhong, Haoyu

AU - Shi, Yukai

AU - Yang, Zhijing

AU - Yang, Xiaojun

AU - Li, Xin

AU - Jin, Xin

AU - Wu, Yaojun

AU - Pang, Yingxue

AU - Liu, Sen

AU - Liu, Zhi Song

AU - Wang, Li Wen

AU - Li, Chu Tak

AU - Cani, Marie Paule

AU - Siu, Wan Chi

AU - Zhou, Yuanbo

AU - Umer, Rao Muhammad

AU - Micheloni, Christian

AU - Cong, Xiaofeng

AU - Gupta, Rajat

AU - Ahn, Keon Hee

AU - Kim, Jun Hyuk

AU - Choi, Jun Ho

AU - Lee, Jong Seok

AU - Almasri, Feras

AU - Vandamme, Thomas

AU - Debeir, Olivier

PY - 2020

Y1 - 2020

N2 - This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for × 2, × 3 and × 4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

AB - This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for × 2, × 3 and × 4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

UR - http://www.scopus.com/inward/record.url?scp=85101563281&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85101563281&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-67070-2_24

DO - 10.1007/978-3-030-67070-2_24

M3 - Conference contribution

AN - SCOPUS:85101563281

SN - 9783030670696

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 392

EP - 422

BT - Computer Vision – ECCV 2020 Workshops, Proceedings

A2 - Bartoli, Adrien

A2 - Fusiello, Andrea

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 23 August 2020 through 28 August 2020

ER -

Wei P, Lu H, Timofte R, Lin L, Zuo W, Pan Z et al. AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. In Bartoli A, Fusiello A, editors, Computer Vision – ECCV 2020 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 392-422. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-67070-2_24

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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