This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (sRGB) space. Given the subjective nature of this task, the proposed solutions were evaluated based on the mean opinions of viewers asked to judge the visual appearance of the results. Michael Freeman, a world-renowned photographer, further ranked the solutions with the highest mean opinion scores. A total of 13 teams competed in the final phase of the challenge. The proposed methods provided by the participating teams represent state-of-the-art performance in nighttime photography.
Ershov, E., Savchik, A., Shepelev, D., Banic, N., Brown, M., Timofte, R., et al. (2022). NTIRE 2022 Challenge on Night Photography Rendering. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1286-1299). IEEE Computer Society [10.1109/CVPRW56347.2022.00135].
NTIRE 2022 Challenge on Night Photography Rendering
Zini, Simone;Rota, Claudio;Buzzelli, Marco;Bianco, Simone;Schettini, Raimondo;
2022
Abstract
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (sRGB) space. Given the subjective nature of this task, the proposed solutions were evaluated based on the mean opinions of viewers asked to judge the visual appearance of the results. Michael Freeman, a world-renowned photographer, further ranked the solutions with the highest mean opinion scores. A total of 13 teams competed in the final phase of the challenge. The proposed methods provided by the participating teams represent state-of-the-art performance in nighttime photography.
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