AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results

Wang, Chao; Banterle, Francesco; Ren, Bin; Timofte, Radu; Lu, Xin; Peng, Yufeng; Ge, Chengjie; Sun, Zhijing; Zhou, Ziang; Li, Zihao; Liao, Zishun; Kang, Qiyu; Fu, Xueyang; Zha, Zheng-Jun; Sun, Zhijing; Wang, Xingbo; Liu, Kean; Xu, Senyan; Qiu, Yang; Ding, Yifan; Eilertsen, Gabriel; Unger, Jonas; Wang, Zihao; Wu, Ke; Pan, Jinshan; Liu, Zhen; Li, Zhongyang; Liu, Shuaicheng; Uddin, S. M. Nadim Uddin

Chao Wang, Francesco Banterle, Bin Ren, Radu Timofte, Xin Lu, Yufeng Peng, Chengjie Ge, Zhijing Sun, Ziang Zhou, Zihao Li, Zishun Liao, Qiyu Kang, Xueyang Fu, Zheng-Jun Zha, Zhijing Sun, Xingbo Wang, Kean Liu, Senyan Xu, Yang Qiu, Yifan Ding, Gabriel Eilertsen, Jonas Unger, Zihao Wang, Ke Wu, Jinshan Pan, Zhen Liu, Zhongyang Li, Shuaicheng Liu, S. M. Nadim Uddin Uddin; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025, pp. 5571-5584

Abstract

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 67 participants submitted 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.

Related Material

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2025_ICCV, author = {Wang, Chao and Banterle, Francesco and Ren, Bin and Timofte, Radu and Lu, Xin and Peng, Yufeng and Ge, Chengjie and Sun, Zhijing and Zhou, Ziang and Li, Zihao and Liao, Zishun and Kang, Qiyu and Fu, Xueyang and Zha, Zheng-Jun and Sun, Zhijing and Wang, Xingbo and Liu, Kean and Xu, Senyan and Qiu, Yang and Ding, Yifan and Eilertsen, Gabriel and Unger, Jonas and Wang, Zihao and Wu, Ke and Pan, Jinshan and Liu, Zhen and Li, Zhongyang and Liu, Shuaicheng and Uddin, S. M. Nadim Uddin}, title = {AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {5571-5584} }