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[bibtex]@InProceedings{Shutova_2023_CVPR, author = {Shutova, Alina and Ershov, Egor and Perevozchikov, Georgy and Ermakov, Ivan and Bani\'c, Nikola and Timofte, Radu and Collins, Richard and Efimova, Maria and Terekhin, Arseniy and Zini, Simone and Rota, Claudio and Buzzelli, Marco and Bianco, Simone and Schettini, Raimondo and Lei, Chunxia and Wang, Tingniao and Wang, Song and Liu, Shuai and Feng, Chaoyu and Shao, Guangqi and Wang, Hao and Wang, Xiaotao and Lei, Lei and Xu, Lu and Zhang, Chao and Wang, Yasi and Guo, Jin and Sun, Yangfan and Liu, Tianli and Hao, Dejun and K{\i}nl{\i}, Furkan and \"Ozcan, Bar{\i}ș and K{\i}ra\c{c}, Furkan and Chung, Hyerin and Lee, Nakyung and Kwak, Sung Keun and Conde, Marcos and Seizinger, Tim and Vasluianu, Florin and Elezabi, Omar and Hsieh, Chia-Hsuan and Chen, Wei-Ting and Yang, Hao-Hsiang and Huang, Zhi-Kai and Chang, Hua-En and Chen, I-Hsiang and Chen, Yi-Chung and Chiang, Yuan-Chun}, title = {NTIRE 2023 Challenge on Night Photography Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {1982-1993} }
NTIRE 2023 Challenge on Night Photography Rendering
Abstract
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. 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/
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