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| Format: | Preprint |
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2024
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| Online Access: | https://arxiv.org/abs/2406.13007 |
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| _version_ | 1866914840011866112 |
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| author | Ershov, Egor Panshin, Artyom Karasev, Oleg Korchagin, Sergey Lev, Shepelev Startsev, Alexandr Vladimirov, Daniil Zaychenkova, Ekaterina Banić, Nikola Iarchuk, Dmitrii Efimova, Maria Timofte, Radu Terekhin, Arseniy Yue, Shuwei Liu, Yuyang Wei, Minchen Xu, Lu Zhang, Chao Wang, Yasi Kınlı, Furkan Yılmaz, Doğa Özcan, Barış Kıraç, Furkan Liu, Shuai Xiao, Jingyuan Feng, Chaoyu Wang, Hao Shao, Guangqi Zhang, Yuqian Huang, Yibin Luo, Wei Wang, Liming Wang, Xiaotao Lei, Lei Zini, Simone Rota, Claudio Buzzelli, Marco Bianco, Simone Schettini, Raimondo Guo, Jin Liu, Tianli Wu, Mohao Shao, Ben Yang, Qirui Li, Xianghui Cheng, Qihua Zhang, Fangpu Xu, Zhiqiang Yang, Jingyu Yue, Huanjing |
| author_facet | Ershov, Egor Panshin, Artyom Karasev, Oleg Korchagin, Sergey Lev, Shepelev Startsev, Alexandr Vladimirov, Daniil Zaychenkova, Ekaterina Banić, Nikola Iarchuk, Dmitrii Efimova, Maria Timofte, Radu Terekhin, Arseniy Yue, Shuwei Liu, Yuyang Wei, Minchen Xu, Lu Zhang, Chao Wang, Yasi Kınlı, Furkan Yılmaz, Doğa Özcan, Barış Kıraç, Furkan Liu, Shuai Xiao, Jingyuan Feng, Chaoyu Wang, Hao Shao, Guangqi Zhang, Yuqian Huang, Yibin Luo, Wei Wang, Liming Wang, Xiaotao Lei, Lei Zini, Simone Rota, Claudio Buzzelli, Marco Bianco, Simone Schettini, Raimondo Guo, Jin Liu, Tianli Wu, Mohao Shao, Ben Yang, Qirui Li, Xianghui Cheng, Qihua Zhang, Fangpu Xu, Zhiqiang Yang, Jingyu Yue, Huanjing |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_13007 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | NTIRE 2024 Challenge on Night Photography Rendering Ershov, Egor Panshin, Artyom Karasev, Oleg Korchagin, Sergey Lev, Shepelev Startsev, Alexandr Vladimirov, Daniil Zaychenkova, Ekaterina Banić, Nikola Iarchuk, Dmitrii Efimova, Maria Timofte, Radu Terekhin, Arseniy Yue, Shuwei Liu, Yuyang Wei, Minchen Xu, Lu Zhang, Chao Wang, Yasi Kınlı, Furkan Yılmaz, Doğa Özcan, Barış Kıraç, Furkan Liu, Shuai Xiao, Jingyuan Feng, Chaoyu Wang, Hao Shao, Guangqi Zhang, Yuqian Huang, Yibin Luo, Wei Wang, Liming Wang, Xiaotao Lei, Lei Zini, Simone Rota, Claudio Buzzelli, Marco Bianco, Simone Schettini, Raimondo Guo, Jin Liu, Tianli Wu, Mohao Shao, Ben Yang, Qirui Li, Xianghui Cheng, Qihua Zhang, Fangpu Xu, Zhiqiang Yang, Jingyu Yue, Huanjing Computer Vision and Pattern Recognition 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. |
| title | NTIRE 2024 Challenge on Night Photography Rendering |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.13007 |