NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu; Zongwei Wu; Ao Li; Florin Alexandru Vasluianu; Yulun Zhang; Shuhang Gu; Le Zhang; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; Haitao Ling; Yuanhao Cai; Hao Bian; Yuxin Zheng; Jing Lin; Alan Yuille; Ben Shao; Jin Guo; Tianli Liu; Mohao Wu; Yixu Feng; Shuo Hou; Haotian Lin; Yu Zhu; Peng Wu; Wei Dong; Jinqiu Sun; Yanning Zhang; Qingsen Yan; Wenbin Zou; Weipeng Yang; Yunxiang Li; Qiaomu Wei; Tian Ye; Sixiang Chen; Zhao Zhang; Suiyi Zhao; Bo Wang; Yan Luo; Zhichao Zuo; Mingshen Wang; Junhu Wang; Yanyan Wei; Xiaopeng Sun; Yu Gao; Jiancheng Huang; Hongming Chen; Xiang Chen; Hui Tang; Yuanbin Chen; Yuanbo Zhou; Xinwei Dai; Xintao Qiu; Wei Deng; Qinquan Gao; Tong Tong; Mingjia Li; Jin Hu; Xinyu He; Xiaojie Guo; Sabarinathan Sabarinathan; K. Uma; A. Sasithradevi; B. Sathya Bama; S. Mohamed Mansoor Roomi; V. Srivatsav; Jinjuan Wang; Long Sun; Qiuying Chen; Jiahong Shao; Yizhi Zhang; Marcos V. Conde; Daniel Feijoo; Juan C. Benito; Alvaro Garcia; Jaeho Lee; Seongwan Kim; S. M.A. Sharif; Nodirkhuja Khujaev; Roman Tsoy; Ali Murtaza; Uswah Khairuddin; Ahmad Athif Mohd Faudzi; Sampada Malagi; Amogh Joshi; Nikhil Akalwadi; Chaitra Desai; Ramesh Ashok Tabib; Uma Mudenagudi; Wenyi Lian; Wenjing Lian; Jagadeesh Kalyanshetti; Vijayalaxmi Ashok Aralikatti; Palani Yashaswini; Nitish Upasi; Dikshit Hegde; Ujwala Patil; C. Sujata; Xingzhuo Yan; Wei Hao; Minghan Fu; Pooja Choksy; Anjali Sarvaiya; Kishor Upla; Kiran Raja; Hailong Yan; Yunkai Zhang; Baiang Li; Jingyi Zhang; Huan Zheng

doi:10.1109/CVPRW63382.2024.00655

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li, Florin Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan Yuille, Ben Shao, Jin GuoTianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro Garcia, Jaeho Lee, Seongwan Kim, S. M.A. Sharif, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, C. Sujata, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng

School of Computer Science

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

22 Scopus citations

Abstract

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlighting, extreme darkness, and night scenes. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions. This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.

Original language	English
Title of host publication	Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
Publisher	IEEE Computer Society
Pages	6571-6594
Number of pages	24
ISBN (Electronic)	9798350365474
DOIs	https://doi.org/10.1109/CVPRW63382.2024.00655
State	Published - 2024
Event	2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 - Seattle, United States Duration: 16 Jun 2024 → 22 Jun 2024

Publication series

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

Conference

Conference	2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
Country/Territory	United States
City	Seattle
Period	16/06/24 → 22/06/24

Keywords

backlighting
low light image enhancement
non-uniform illumination
ultra-high resolution

Access to Document

10.1109/CVPRW63382.2024.00655

Cite this

Liu, X., Wu, Z., Li, A., Vasluianu, F. A., Zhang, Y., Gu, S., Zhang, L., Zhu, C., Timofte, R., Jin, Z., Wu, H., Wang, C., Ling, H., Cai, Y., Bian, H., Zheng, Y., Lin, J., Yuille, A., Shao, B., ... Zheng, H. (2024). NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp. 6571-6594). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE Computer Society. https://doi.org/10.1109/CVPRW63382.2024.00655

@inproceedings{3d5adfefdfcb43a190905e78b1a66c1a,

title = "NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results",

abstract = "This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlighting, extreme darkness, and night scenes. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions. This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.",

keywords = "backlighting, low light image enhancement, non-uniform illumination, ultra-high resolution",

author = "Xiaoning Liu and Zongwei Wu and Ao Li and Vasluianu, {Florin Alexandru} and Yulun Zhang and Shuhang Gu and Le Zhang and Ce Zhu and Radu Timofte and Zhi Jin and Hongjun Wu and Chenxi Wang and Haitao Ling and Yuanhao Cai and Hao Bian and Yuxin Zheng and Jing Lin and Alan Yuille and Ben Shao and Jin Guo and Tianli Liu and Mohao Wu and Yixu Feng and Shuo Hou and Haotian Lin and Yu Zhu and Peng Wu and Wei Dong and Jinqiu Sun and Yanning Zhang and Qingsen Yan and Wenbin Zou and Weipeng Yang and Yunxiang Li and Qiaomu Wei and Tian Ye and Sixiang Chen and Zhao Zhang and Suiyi Zhao and Bo Wang and Yan Luo and Zhichao Zuo and Mingshen Wang and Junhu Wang and Yanyan Wei and Xiaopeng Sun and Yu Gao and Jiancheng Huang and Hongming Chen and Xiang Chen and Hui Tang and Yuanbin Chen and Yuanbo Zhou and Xinwei Dai and Xintao Qiu and Wei Deng and Qinquan Gao and Tong Tong and Mingjia Li and Jin Hu and Xinyu He and Xiaojie Guo and Sabarinathan Sabarinathan and K. Uma and A. Sasithradevi and Bama, {B. Sathya} and Roomi, {S. Mohamed Mansoor} and V. Srivatsav and Jinjuan Wang and Long Sun and Qiuying Chen and Jiahong Shao and Yizhi Zhang and Conde, {Marcos V.} and Daniel Feijoo and Benito, {Juan C.} and Alvaro Garcia and Jaeho Lee and Seongwan Kim and Sharif, {S. M.A.} and Nodirkhuja Khujaev and Roman Tsoy and Ali Murtaza and Uswah Khairuddin and Faudzi, {Ahmad Athif Mohd} and Sampada Malagi and Amogh Joshi and Nikhil Akalwadi and Chaitra Desai and Tabib, {Ramesh Ashok} and Uma Mudenagudi and Wenyi Lian and Wenjing Lian and Jagadeesh Kalyanshetti and Aralikatti, {Vijayalaxmi Ashok} and Palani Yashaswini and Nitish Upasi and Dikshit Hegde and Ujwala Patil and C. Sujata and Xingzhuo Yan and Wei Hao and Minghan Fu and Pooja Choksy and Anjali Sarvaiya and Kishor Upla and Kiran Raja and Hailong Yan and Yunkai Zhang and Baiang Li and Jingyi Zhang and Huan Zheng",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 ; Conference date: 16-06-2024 Through 22-06-2024",

year = "2024",

doi = "10.1109/CVPRW63382.2024.00655",

language = "英语",

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

publisher = "IEEE Computer Society",

pages = "6571--6594",

booktitle = "Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024",

}

Liu, X, Wu, Z, Li, A, Vasluianu, FA, Zhang, Y, Gu, S, Zhang, L, Zhu, C, Timofte, R, Jin, Z, Wu, H, Wang, C, Ling, H, Cai, Y, Bian, H, Zheng, Y, Lin, J, Yuille, A, Shao, B, Guo, J, Liu, T, Wu, M, Feng, Y, Hou, S, Lin, H, Zhu, Y, Wu, P, Dong, W, Sun, J , Zhang, Y , Yan, Q, Zou, W, Yang, W, Li, Y, Wei, Q, Ye, T, Chen, S, Zhang, Z, Zhao, S, Wang, B, Luo, Y, Zuo, Z, Wang, M, Wang, J, Wei, Y, Sun, X, Gao, Y, Huang, J, Chen, H, Chen, X, Tang, H, Chen, Y, Zhou, Y, Dai, X, Qiu, X, Deng, W, Gao, Q, Tong, T, Li, M, Hu, J, He, X, Guo, X, Sabarinathan, S, Uma, K, Sasithradevi, A, Bama, BS, Roomi, SMM, Srivatsav, V, Wang, J, Sun, L, Chen, Q, Shao, J, Zhang, Y, Conde, MV, Feijoo, D, Benito, JC, Garcia, A, Lee, J, Kim, S, Sharif, SMA, Khujaev, N, Tsoy, R, Murtaza, A, Khairuddin, U, Faudzi, AAM, Malagi, S, Joshi, A, Akalwadi, N, Desai, C, Tabib, RA, Mudenagudi, U, Lian, W, Lian, W, Kalyanshetti, J, Aralikatti, VA, Yashaswini, P, Upasi, N, Hegde, D, Patil, U, Sujata, C, Yan, X, Hao, W, Fu, M, Choksy, P, Sarvaiya, A, Upla, K, Raja, K, Yan, H, Zhang, Y, Li, B, Zhang, J & Zheng, H 2024, NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. in Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, pp. 6571-6594, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, Seattle, United States, 16/06/24. https://doi.org/10.1109/CVPRW63382.2024.00655

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. / Liu, Xiaoning; Wu, Zongwei; Li, Ao et al.
Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, 2024. p. 6571-6594 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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

TY - GEN

T1 - NTIRE 2024 Challenge on Low Light Image Enhancement

T2 - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024

AU - Liu, Xiaoning

AU - Wu, Zongwei

AU - Li, Ao

AU - Vasluianu, Florin Alexandru

AU - Zhang, Yulun

AU - Gu, Shuhang

AU - Zhang, Le

AU - Zhu, Ce

AU - Timofte, Radu

AU - Jin, Zhi

AU - Wu, Hongjun

AU - Wang, Chenxi

AU - Ling, Haitao

AU - Cai, Yuanhao

AU - Bian, Hao

AU - Zheng, Yuxin

AU - Lin, Jing

AU - Yuille, Alan

AU - Shao, Ben

AU - Guo, Jin

AU - Liu, Tianli

AU - Wu, Mohao

AU - Feng, Yixu

AU - Hou, Shuo

AU - Lin, Haotian

AU - Zhu, Yu

AU - Wu, Peng

AU - Dong, Wei

AU - Sun, Jinqiu

AU - Zhang, Yanning

AU - Yan, Qingsen

AU - Zou, Wenbin

AU - Yang, Weipeng

AU - Li, Yunxiang

AU - Wei, Qiaomu

AU - Ye, Tian

AU - Chen, Sixiang

AU - Zhang, Zhao

AU - Zhao, Suiyi

AU - Wang, Bo

AU - Luo, Yan

AU - Zuo, Zhichao

AU - Wang, Mingshen

AU - Wang, Junhu

AU - Wei, Yanyan

AU - Sun, Xiaopeng

AU - Gao, Yu

AU - Huang, Jiancheng

AU - Chen, Hongming

AU - Chen, Xiang

AU - Tang, Hui

AU - Chen, Yuanbin

AU - Zhou, Yuanbo

AU - Dai, Xinwei

AU - Qiu, Xintao

AU - Deng, Wei

AU - Gao, Qinquan

AU - Tong, Tong

AU - Li, Mingjia

AU - Hu, Jin

AU - He, Xinyu

AU - Guo, Xiaojie

AU - Sabarinathan, Sabarinathan

AU - Uma, K.

AU - Sasithradevi, A.

AU - Bama, B. Sathya

AU - Roomi, S. Mohamed Mansoor

AU - Srivatsav, V.

AU - Wang, Jinjuan

AU - Sun, Long

AU - Chen, Qiuying

AU - Shao, Jiahong

AU - Zhang, Yizhi

AU - Conde, Marcos V.

AU - Feijoo, Daniel

AU - Benito, Juan C.

AU - Garcia, Alvaro

AU - Lee, Jaeho

AU - Kim, Seongwan

AU - Sharif, S. M.A.

AU - Khujaev, Nodirkhuja

AU - Tsoy, Roman

AU - Murtaza, Ali

AU - Khairuddin, Uswah

AU - Faudzi, Ahmad Athif Mohd

AU - Malagi, Sampada

AU - Joshi, Amogh

AU - Akalwadi, Nikhil

AU - Desai, Chaitra

AU - Tabib, Ramesh Ashok

AU - Mudenagudi, Uma

AU - Lian, Wenyi

AU - Lian, Wenjing

AU - Kalyanshetti, Jagadeesh

AU - Aralikatti, Vijayalaxmi Ashok

AU - Yashaswini, Palani

AU - Upasi, Nitish

AU - Hegde, Dikshit

AU - Patil, Ujwala

AU - Sujata, C.

AU - Yan, Xingzhuo

AU - Hao, Wei

AU - Fu, Minghan

AU - Choksy, Pooja

AU - Sarvaiya, Anjali

AU - Upla, Kishor

AU - Raja, Kiran

AU - Yan, Hailong

AU - Zhang, Yunkai

AU - Li, Baiang

AU - Zhang, Jingyi

AU - Zheng, Huan

PY - 2024

Y1 - 2024

N2 - This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlighting, extreme darkness, and night scenes. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions. This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.

AB - This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions, including ultra-high resolution (4K and beyond), non-uniform illumination, backlighting, extreme darkness, and night scenes. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions. This paper meticulously evaluates the state-of-the-art advancements in enhancing low-light images, reflecting the significant progress and creativity in this field.

KW - backlighting

KW - low light image enhancement

KW - non-uniform illumination

KW - ultra-high resolution

UR - http://www.scopus.com/inward/record.url?scp=85191718673&partnerID=8YFLogxK

U2 - 10.1109/CVPRW63382.2024.00655

DO - 10.1109/CVPRW63382.2024.00655

M3 - 会议稿件

AN - SCOPUS:85191718673

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

SP - 6571

EP - 6594

BT - Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024

PB - IEEE Computer Society

Y2 - 16 June 2024 through 22 June 2024

ER -

Liu X, Wu Z, Li A, Vasluianu FA, Zhang Y, Gu S et al. NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society. 2024. p. 6571-6594. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW63382.2024.00655

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

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Keywords

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