Abstract: This paper presents a review of the NTIRE 2025 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw smartphone images taken in nighttime conditions, producing output images that replicate the pipeline of a professional camera. Unlike the previous year's competition, this year a unique imaging setup was introduced: each scene was captured both by a smartphone and a professional camera with the help of a beam-splitter cube. There were two nominations: best objective quality and mean opinion score-based quality. To evaluate the objective score, the SSIM and PSNR metrics were utilized. To evaluate the MOS-based quality, a sufficient number of viewers were asked to assess the similarity of the proposed solutions to the ground truth image taken by the professional camera. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org.
External IDs:dblp:conf/cvpr/ErshovKKPTZLPAZ25
Loading