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Paper detail

NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results

This paper presents a comprehensive review of the NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge, highlighting the proposed solutions and final outcomes. This challenge focuses on mobile image enhancement under low-light conditions, aiming to design lightweight networks that improve enhancement quality while ensuring practical deployability under limited computational resources. A total of 207 participants registered, 27 teams submitted valid entries, and 17 teams ultimately provided valid factsheet. Based on these submissions, this paper provides a systematic evaluation of recent methods for E-LLIE, offering a comprehensive overview of state-of-the-art progress and demonstrating significant improvements in both performance and efficiency.

preprint2026arXivOpen access
Jiebin YanChenyu TuWeixia ZhangZhihua WangPeibei CaoQinghua LinYuming FangXiaoning LiuZongwei WuZhuyun ZhouRadu Timofte
Computer Vision
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Jiebin YanChenyu TuWeixia ZhangZhihua WangPeibei CaoQinghua LinYuming FangXiaoning LiuZongwei WuZhuyun ZhouRadu Timofte

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