NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

Sangmin Lee, Eunpil Park, Angel Canelo, Hyunhee Park, Youngjo Kim, Hyungju Chun, Xin Jin, Chongyi Li, Chun-Le Guo, Radu Timofte, Qi Wu, Tianheng Qiu, Yuchun Dong, Shenglin Ding, Guanghua Pan, Weiyu Zhou, Tao Hu, Yixu Feng, Duwei Dai, Yu Cao, Peng Wu, Wei Dong, Yanning Zhang, Qingsen Yan, Simon Larsen, Senyan Xu, Xingbo Wang, Ruixuan Jiang, Xin Lu, Marcos Conde, Javier Abad-Hernández, Álvaro García-Lara, Daniel Feijoo, Álvaro García, Zeyu Xiao, Zhuoyuan Li; Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, 2025, pp. 1002-1017

Abstract

This paper reviews the NTIRE 2025 Efficient Burst HDR and Restoration Challenge, which aims to advance efficient multi-frame high dynamic range (HDR) and restoration techniques. The challenge is based on a novel RAW multi-frame fusion dataset, comprising nine noisy and misaligned RAW frames with various exposure levels per scene. Participants were tasked with developing solutions capable of effectively fusing these frames while adhering to strict efficiency constraints: fewer than 30 million model parameters and a computational budget under 4.0 trillion FLOPs. A total of 217 participants registered, with six teams finally submitting valid solutions. The top-performing approach achieved a PSNR of 43.22 dB, showcasing the potential of novel methods in this domain. This paper provides a comprehensive overview of the challenge, compares the proposed solutions, and serves as a valuable reference for researchers and practitioners in efficient burst HDR and restoration.

Related Material

[pdf] [arXiv]
[bibtex]
@InProceedings{Lee_2025_CVPR, author = {Lee, Sangmin and Park, Eunpil and Canelo, Angel and Park, Hyunhee and Kim, Youngjo and Chun, Hyungju and Jin, Xin and Li, Chongyi and Guo, Chun-Le and Timofte, Radu and Wu, Qi and Qiu, Tianheng and Dong, Yuchun and Ding, Shenglin and Pan, Guanghua and Zhou, Weiyu and Hu, Tao and Feng, Yixu and Dai, Duwei and Cao, Yu and Wu, Peng and Dong, Wei and Zhang, Yanning and Yan, Qingsen and Larsen, Simon and Xu, Senyan and Wang, Xingbo and Jiang, Ruixuan and Lu, Xin and Conde, Marcos and Abad-Hern\'andez, Javier and Garc{\'\i}a-Lara, \'Alvaro and Feijoo, Daniel and Garc{\'\i}a, \'Alvaro and Xiao, Zeyu and Li, Zhuoyuan}, title = {NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1002-1017} }