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[bibtex]@InProceedings{Liu_2024_CVPR, author = {Liu, Xiaoning and Wu, Zongwei and Li, Ao and Vasluianu, Florin-Alexandru and Zhang, Yulun and Gu, Shuhang and Zhang, Le and Zhu, Ce and Timofte, Radu and Jin, Zhi and Wu, Hongjun and Wang, Chenxi and Ling, Haitao and Cai, Yuanhao and Bian, Hao and Zheng, Yuxin and Lin, Jing and Yuille, Alan and Shao, Ben and Guo, Jin and Liu, Tian and Wu, Mohao and Feng, Yixu and Hou, Shuo and Lin, Haotian and Zhu, Yu and Wu, Peng and Dong, Wei and Sun, Jinqiu and Zhang, Yanning and Yan, Qingsen and Zou, Wenbin and Yang, Weipeng and Li, Yunxiang and Wei, Qiaomu and Ye, Tian and Chen, Sixiang and Zhang, Zhao and Zhao, Suiyi and Wang, Bo and Luo, Yan and Zuo, Zhichao and Wang, Mingshen and Wang, Junhu and Wei, Yanyan and Sun, Xiaopeng and Gao, Yu and Huang, Jiancheng and Chen, Hongming and Chen, Xiang and Tang, Hui and Chen, Yuanbin and Zhou, Yuanbo and Dai, Xinwei and Qiu, Xintao and Deng, Wei and Gao, Qinquan and Tong, Tong and Li, Mingjia and Hu, Jin and He, Xinyu and Guo, Xiaojie and Sabarinathan, Sabarinathan and Uma, K and Sasithradevi, A and Rama, B Sathya and Roomi, S. Mohamed Mansoor and Srivatsav, V. and Wang, Jinjuan and Sun, Long and Chen, Qiuying and Shao, Jiahong and Zhang, Yizhi and Conde, Marcos V. and Feijoo, Daniel and Benito, Juan C. and Garcia, Alvaro and Lee, Jaeho and Kim, Seongwan and A, Sharif S M and Khujaev, Nodirkhuja and Tsoy, Roman and Murtaza, Ali and Khairuddin, Uswah and Faudzi, Amad Athif Mohd and Malagi, Sampada and Joshi, Amogh and Akalwadi, Nikhil and Desai, Chaitra and Tabib, Ramesh Ashok and Mudenagudi, Uma and Yashaswini, Palani and Upasi, Nitish and Hegde, Dikshit and Patil, Ujwala and C, Sujata and Yan, Xingzhuo and Hao, Wei and Fu, Minghan and Choksy, Pooja and Sarvaiya, Anjali and Upla, Kishor and Raja, Kiran and Yan, Hailong and Zhang, Yunkai and Li, Baiang and Zhang, Jingyi and Zheng, Huan}, title = {NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6571-6594} }
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.
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