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2025-10-15
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning LiuZongwei WuFlorin-Alexandru VasluianuHailong YanBin RenYulun ZhangShuhang GuLe ZhangCe ZhuRadu TimofteKangbiao ShiYixu FengTao HuYu CaoPeng WuYijin LiangYanning ZhangQingsen YanHan ZhouWei DongYan MinMohab KishawyJun ChenPengpeng YuAnjin ParkSeung-Soo LeeYoung-Joon ParkZixiao HuJunyv LiuHuilin ZhangJun ZhangFei WanBingxin XuHongzhe LiuCheng XuWeiguo PanSongyin DaiXunpeng YiQinglong YanYibing ZhangJiayi MaChanghui HuKerui HuDonghang JingTiesheng ChenZhi JinHongjun WuBiao HuangHaitao LingJiahao WuDandan ZhanG Gyaneshwar RaoVijayalaxmi Ashok AralikattiNikhil AkalwadiRamesh Ashok TabibUma MudenagudiRuirui LinGuoxi HuangNantheera AnantrasirichaiQirui YangAlexandru BrateanuCiprian OrheiCosmin AncutiDaniel FeijooJuan C. BenitoÁlvaro GarcíaMarcos V. CondeYang QinRaul BalmezAnas M. AliBilel BenjdiraWadii BoulilaTianyi MaoHuan ZhengYanyan WeiShengeng TangDan GuoZhao ZhangSabari NathanK UmaA SasithradeviB Sathya BamaS. Mohamed Mansoor RoomiAo LiXiangtao ZhangZhe LiuYijie TangJialong TangZhicheng FuGong ChenJoe NastiJohn NicholsonZeyu XiaoZhuoyuan LiAshutosh KulkarniPrashant W. PatilSantosh Kumar VipparthiSubrahmanyam MuralaDuan LiuWeile LiHangyuan LuRixian LiuTengfeng WangJinxing LiangChenxin Yu
文献摘要
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.
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