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Low Light Image Enhancement Challenge at NTIRE 2026

Fuente: arXiv

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Main Authors:	Ciubotariu, George, A, Sharif S M, Rehman, Abdur, Dharejo, Fayaz Ali, Naqvi, Rizwan Ali, Conde, Marcos V., Timofte, Radu, Jin, Zhi, Wu, Hongjun, Zhang, Wenjian, Ye, Chang, Yi, Xunpeng, Yan, Qinglong, Zhang, Yibing, Ali, Zaynab, Meesiyawar, Saiprasad, Pattanshetty, Varda I, Pattanshetty, Varsha I, Akalwadi, Nikhil, Desai, Padmashree, Tabib, Ramesh Ashok, Mudenagudi, Uma, Yang, Hao, Zhang, Ruikun, Pan, Liyuan, Kınlı, Furkan, Ryou, Donghun, Ha, Inju, Kang, Junoh, Han, Bohyung, Zhou, Wei, Haitman, Yuval, Lapid, Ariel, Peretz, Reuven, Diamant, Idit, Cao, Leilei, Zhang, Shuo, Hambarde, Praful, Shaily, Prateek, Kumar, Jayant, Sharma, Hardik, Negi, Aashish, Chaudhary, Sachin, Dudhane, Akshay, Shukla, Amit, Wu, MoHao, Wang, Lin, Tu, Jiachen, Xu, Guoyi, Jiang, Yaoxin, Liu, Jiajia, Shi, Yaokun, Balmez, Raul, Brateanu, Alexandru, Orhei, Ciprian, Ancuti, Cosmin, Ancuti, Codruta O., Benjdira, Bilel, Ali, Anas M., Boulila, Wadii, Qiao, Kaifan, Chen, Bofei, Xu, Jingyi, Zhang, Duo, Deng, Xin, Xu, Mai, Li, Shengxi, Jiang, Lai, A, Harini, N, Ananya, K, Lakshanya, Xu, Ying, Zhu, Xinyi, Shi, Shijun, Zhang, Jiangning, Liu, Yong, Hu, Kai, Xu, Jing, Zeng, Xianfang, Song, Jinao, Tang, Guangsheng, Li, Cheng, Yang, Yuqiang, Wang, Ziyi, Chen, Yan, Bao, Long, Sun, Heng, Kishawy, Mohab, Chen, Jun, Siu, Wan-Chi, Cheng, Yihao, Lee, Hon Man Hammond, Hui, Chun-Chuen
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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author	Ciubotariu, George A, Sharif S M Rehman, Abdur Dharejo, Fayaz Ali Naqvi, Rizwan Ali Conde, Marcos V. Timofte, Radu Jin, Zhi Wu, Hongjun Zhang, Wenjian Ye, Chang Yi, Xunpeng Yan, Qinglong Zhang, Yibing Ali, Zaynab Meesiyawar, Saiprasad Pattanshetty, Varda I Pattanshetty, Varsha I Akalwadi, Nikhil Desai, Padmashree Tabib, Ramesh Ashok Mudenagudi, Uma Yang, Hao Zhang, Ruikun Pan, Liyuan Kınlı, Furkan Ryou, Donghun Ha, Inju Kang, Junoh Han, Bohyung Zhou, Wei Haitman, Yuval Lapid, Ariel Peretz, Reuven Diamant, Idit Cao, Leilei Zhang, Shuo Hambarde, Praful Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Aashish Chaudhary, Sachin Dudhane, Akshay Shukla, Amit Wu, MoHao Wang, Lin Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Balmez, Raul Brateanu, Alexandru Orhei, Ciprian Ancuti, Cosmin Ancuti, Codruta O. Benjdira, Bilel Ali, Anas M. Boulila, Wadii Qiao, Kaifan Chen, Bofei Xu, Jingyi Zhang, Duo Deng, Xin Xu, Mai Li, Shengxi Jiang, Lai A, Harini N, Ananya K, Lakshanya Xu, Ying Zhu, Xinyi Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang Song, Jinao Tang, Guangsheng Li, Cheng Yang, Yuqiang Wang, Ziyi Chen, Yan Bao, Long Sun, Heng Kishawy, Mohab Chen, Jun Siu, Wan-Chi Cheng, Yihao Lee, Hon Man Hammond Hui, Chun-Chuen
author_facet	Ciubotariu, George A, Sharif S M Rehman, Abdur Dharejo, Fayaz Ali Naqvi, Rizwan Ali Conde, Marcos V. Timofte, Radu Jin, Zhi Wu, Hongjun Zhang, Wenjian Ye, Chang Yi, Xunpeng Yan, Qinglong Zhang, Yibing Ali, Zaynab Meesiyawar, Saiprasad Pattanshetty, Varda I Pattanshetty, Varsha I Akalwadi, Nikhil Desai, Padmashree Tabib, Ramesh Ashok Mudenagudi, Uma Yang, Hao Zhang, Ruikun Pan, Liyuan Kınlı, Furkan Ryou, Donghun Ha, Inju Kang, Junoh Han, Bohyung Zhou, Wei Haitman, Yuval Lapid, Ariel Peretz, Reuven Diamant, Idit Cao, Leilei Zhang, Shuo Hambarde, Praful Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Aashish Chaudhary, Sachin Dudhane, Akshay Shukla, Amit Wu, MoHao Wang, Lin Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Balmez, Raul Brateanu, Alexandru Orhei, Ciprian Ancuti, Cosmin Ancuti, Codruta O. Benjdira, Bilel Ali, Anas M. Boulila, Wadii Qiao, Kaifan Chen, Bofei Xu, Jingyi Zhang, Duo Deng, Xin Xu, Mai Li, Shengxi Jiang, Lai A, Harini N, Ananya K, Lakshanya Xu, Ying Zhu, Xinyi Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang Song, Jinao Tang, Guangsheng Li, Cheng Yang, Yuqiang Wang, Ziyi Chen, Yan Bao, Long Sun, Heng Kishawy, Mohab Chen, Jun Siu, Wan-Chi Cheng, Yihao Lee, Hon Man Hammond Hui, Chun-Chuen
contents	This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this challenge is to identify effective networks capable of producing clearer and visually compelling images in diverse and challenging conditions by learning representative visual cues with the purpose of restoring information loss due to low-contrast and noisy images. A total of 195 participants registered for the first track and 153 for the second track of the competition, and 22 teams ultimately submitted valid entries. This paper thoroughly evaluates the state-of-the-art advances in (joint denoising and) low-light image enhancement, showcasing the significant progress in the field, while leveraging samples of our novel dataset.
format	Preprint
id	arxiv_https___arxiv_org_abs_2604_17669
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Low Light Image Enhancement Challenge at NTIRE 2026 Ciubotariu, George A, Sharif S M Rehman, Abdur Dharejo, Fayaz Ali Naqvi, Rizwan Ali Conde, Marcos V. Timofte, Radu Jin, Zhi Wu, Hongjun Zhang, Wenjian Ye, Chang Yi, Xunpeng Yan, Qinglong Zhang, Yibing Ali, Zaynab Meesiyawar, Saiprasad Pattanshetty, Varda I Pattanshetty, Varsha I Akalwadi, Nikhil Desai, Padmashree Tabib, Ramesh Ashok Mudenagudi, Uma Yang, Hao Zhang, Ruikun Pan, Liyuan Kınlı, Furkan Ryou, Donghun Ha, Inju Kang, Junoh Han, Bohyung Zhou, Wei Haitman, Yuval Lapid, Ariel Peretz, Reuven Diamant, Idit Cao, Leilei Zhang, Shuo Hambarde, Praful Shaily, Prateek Kumar, Jayant Sharma, Hardik Negi, Aashish Chaudhary, Sachin Dudhane, Akshay Shukla, Amit Wu, MoHao Wang, Lin Tu, Jiachen Xu, Guoyi Jiang, Yaoxin Liu, Jiajia Shi, Yaokun Balmez, Raul Brateanu, Alexandru Orhei, Ciprian Ancuti, Cosmin Ancuti, Codruta O. Benjdira, Bilel Ali, Anas M. Boulila, Wadii Qiao, Kaifan Chen, Bofei Xu, Jingyi Zhang, Duo Deng, Xin Xu, Mai Li, Shengxi Jiang, Lai A, Harini N, Ananya K, Lakshanya Xu, Ying Zhu, Xinyi Shi, Shijun Zhang, Jiangning Liu, Yong Hu, Kai Xu, Jing Zeng, Xianfang Song, Jinao Tang, Guangsheng Li, Cheng Yang, Yuqiang Wang, Ziyi Chen, Yan Bao, Long Sun, Heng Kishawy, Mohab Chen, Jun Siu, Wan-Chi Cheng, Yihao Lee, Hon Man Hammond Hui, Chun-Chuen Computer Vision and Pattern Recognition This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this challenge is to identify effective networks capable of producing clearer and visually compelling images in diverse and challenging conditions by learning representative visual cues with the purpose of restoring information loss due to low-contrast and noisy images. A total of 195 participants registered for the first track and 153 for the second track of the competition, and 22 teams ultimately submitted valid entries. This paper thoroughly evaluates the state-of-the-art advances in (joint denoising and) low-light image enhancement, showcasing the significant progress in the field, while leveraging samples of our novel dataset.
title	Low Light Image Enhancement Challenge at NTIRE 2026
topic	Computer Vision and Pattern Recognition
url	https://arxiv.org/abs/2604.17669