67团队319份结果，挑战从LDR重建HDR图像的感知保真度。
AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results
- 汇聚67个团队的319份方案，分析逆色调映射算法
- 顶尖方案在PU21-PSNR上达29.22 dB，突破现有水平
- 为未来高动态范围图像重建提供新基准与思路
本文全面回顾了AIM 2025逆色调映射（ITM）挑战赛。该挑战旨在推动从单张低动态范围（LDR）图像重建高动态范围（HDR）图像的高效算法发展，重点关注感知保真度与数值一致性。共有67名参与者提交了319份有效结果，其中前五名团队的方案被重点分析。最佳方案在PU21-PSNR指标上达到29.22 dB。报告总结了各团队的技术策略，揭示了提升HDR重建质量的创新方法，并建立了强有力的基准，为未来逆色调映射研究提供指导。
原文摘要 · Abstract (English)
This paper presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping (ITM). The challenge aimed to push forward the development of effective ITM algorithms for HDR image reconstruction from single LDR inputs, focusing on perceptual fidelity and numerical consistency. A total of \textbf{67} participants submitted \textbf{319} valid results, from which the best five teams were selected for detailed analysis. This report consolidates their methodologies and performance, with the lowest PU21-PSNR among the top entries reaching 29.22 dB. The analysis highlights innovative strategies for enhancing HDR reconstruction quality and establishes strong benchmarks to guide future research in inverse tone mapping.
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