Pregled bibliografske jedinice broj: 1236931
NTIRE 2022 Challenge on Night Photography Rendering
NTIRE 2022 Challenge on Night Photography Rendering // IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
New Orleans (LA), Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1287-1300 doi:10.1109/cvprw56347.2022.00135 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
NTIRE 2022 Challenge on Night Photography Rendering
Autori
Ershov, Egor ; Savchik, Alex ; Shepelev, Denis ; Banić, Nikola ; Brown, Michael S. ; Timofte, Radu ; Koščevic, Karlo ; Freeman, Michael ; Tesalin, Vasily ; Bocharov, Dmitry ; Semenkov, Illya ; Subašić, Marko ; Lončarić, Sven ; Terekhin, Arseniy ; Liu, Shuai ; Feng, Chaoyu ; Wang, Hao ; Zhu, Ran ; Li, Yongqiang ; Lei, Lei ; Li, Zhihao ; Yi, Si ; Han, Ling-Hao ; Wu, Ruiqi ; Jin, Xin ; Guo, Chunle ; Kinli, Furkan ; Mentes, Sami ; Ozcan, Baris ; Kirac, Furkan ; Zini, Simone ; Rota, Claudio ; Buzzelli, Marco ; Bianco, Simone ; Schettini, Raimondo ; Li, Wei ; Ma, Yipeng ; Wang, Tao ; Xu, Ruikang ; Song, Fenglong ; Chen, Wei-Ting ; Yang, Hao-Hsiang ; Huang, Zhi-Kai ; Chang, Hua-En ; Kuo, Sy-Yen ; Liang, Zhexin ; Zhou, Shangchen ; Feng, Ruicheng ; Li, Chongyi ; Chen, Xiangyu ; Song, Binbin ; Zhang, Shile ; Liu, Lin ; Wang, Zhendong ; Ryu, Dohoon ; Bae, Hyokyoung ; Kwon, Taesung ; Desai, Chaitra ; Akalwadi, Nikhil ; Joshi, Amogh ; Mandi, Chinmayee ; Malagi, Sampada ; Uppin, Akash ; Sudheer Reddy, Sai ; Ashok Tabib, Ramesh ; Patil, Ujwala ; Mudenagudi, Uma
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
Mjesto i datum
New Orleans (LA), Sjedinjene Američke Države, 19.06.2022. - 24.06.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Photography ; Visualization ; Computer vision ; Conferences ; Rendering (computer graphics) ; Cameras ; Pattern recognition
Sažetak
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. Results from the various teams can be found here: https://nightimaging.org/
Izvorni jezik
Engleski
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb