The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li; Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, 2025, pp. 1342-1369

Abstract

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (\sigma = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without constraints on computational complexity or model size. The task assumes independent additive white Gaussian noise (AWGN) with a fixed noise level of 50. A total of 290 participants registered for the challenge, with 20 teams successfully submitting valid results, providing insights into the current state-of-the-art in image denoising.

Related Material

[pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2025_CVPR, author = {Sun, Lei and Guo, Hang and Ren, Bin and Van Gool, Luc and Timofte, Radu and Li, Yawei}, title = {The Tenth NTIRE 2025 Image Denoising Challenge Report}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1342-1369} }