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NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results

  • Xiaoning Liu
  • , Zongwei Wu
  • , Florin Alexandru Vasluianu
  • , Hailong Yan
  • , Bin Ren
  • , Yulun Zhang
  • , Shuhang Gu
  • , Le Zhang
  • , Ce Zhu
  • , Radu Timofte
  • , Kangbiao Shi
  • , Yixu Feng
  • , Tao Hu
  • , Yu Cao
  • , Peng Wu
  • , Yijin Liang
  • , Yanning Zhang
  • , Qingsen Yan
  • , Han Zhou
  • , Wei Dong
  • Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung Soo Lee, Young Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G. Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, Alvaro Garcia, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Scopus citations

Abstract

This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of the challenge is to identify effective networks capable of producing brighter, clearer, and visually compelling images under diverse and challenging conditions. A remarkable total of 762 participants registered for the competition, with 28 teams ultimately submitting valid entries. This paper thoroughly evaluates the state-of-the-art advancements in LLIE, showcasing the significant progress.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025
PublisherIEEE Computer Society
Pages1196-1206
Number of pages11
ISBN (Electronic)9798331599942
DOIs
StatePublished - 2025
Event2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025 - Nashville, United States
Duration: 11 Jun 202512 Jun 2025

Publication series

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

Conference

Conference2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025
Country/TerritoryUnited States
CityNashville
Period11/06/2512/06/25

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