arXiv:2605.02212cs.CV2026-05

207人参赛,17队提交有效方案,评测高效低光图像增强新进展。

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

论文配图:NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
图 1 · 摘自论文原文
  • 聚焦移动端低光图像增强,设计轻量网络提升效率与质量。
  • 17支队伍提交有效结果,在性能与计算资源间取得平衡。
  • 为移动设备低光增强提供可部署的前沿技术参考。

本文全面回顾了NTIRE 2026高效低光图像增强(E-LLIE)挑战赛,重点介绍参赛方案与最终成果。该挑战聚焦移动端在低光条件下的图像增强,旨在设计轻量化网络,在保证增强质量的同时实现实际部署,适应有限计算资源。共有207名参与者注册,27支团队提交有效作品,最终17支队伍提供有效的成果报告。基于这些提交,本文系统评估了当前E-LLIE方法,全面呈现领域最新进展,并在性能与效率上均实现显著提升。

原文摘要 · Abstract (English)

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.

低光增强轻量模型移动端竞赛评测

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