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NTIRE 2024 Challenge on Night Photography Rendering

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arxiv 2406.13007 v1 pith:XU3QDXJU submitted 2024-06-18 cs.CV

Egor Ershov , Artyom Panshin , Oleg Karasev , Sergey Korchagin , Shepelev Lev , Alexandr Startsev , Daniil Vladimirov , Ekaterina Zaychenkova
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Nikola Banić Dmitrii Iarchuk Maria Efimova Radu Timofte Arseniy Terekhin Shuwei Yue Yuyang Liu Minchen Wei Lu Xu Chao Zhang Yasi Wang Furkan K{i}nl{i} Doğa Y{i}lmaz Bar{i}ş Özcan Furkan K{i}raç Shuai Liu Jingyuan Xiao Chaoyu Feng Hao Wang Guangqi Shao Yuqian Zhang Yibin Huang Wei Luo Liming Wang Xiaotao Wang Lei Lei Simone Zini Claudio Rota Marco Buzzelli Simone Bianco Raimondo Schettini Jin Guo Tianli Liu Mohao Wu Ben Shao Qirui Yang Xianghui Li Qihua Cheng Fangpu Zhang Zhiqiang Xu Jingyu Yang Huanjing Yue
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classification cs.CV
keywords challengequalitysolutionswereimagesoutputphotographyrendering
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, the challenge images were collected with a mobile phone and the speed of algorithms was also measured alongside the quality of their output. 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. There were 2 nominations: quality and efficiency. Top 5 solutions in terms of output quality were sorted by evaluation time (see Fig. 1). 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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