NTIRE 2024 Challenge on Night Photography Rendering

Egor Ershov, Artyom Panshin, Oleg Karasev, Sergey Korchagin, Shepelev Lev, Alexandr Startsev, Daniil Vladimirov, Ekaterina Zaychenkova, Nikola Banić, Dmitrii R Iarchuk, Maria Efimove, Radu Timofte, Arseniy Terekhin; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 6702-6711

Abstract

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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[bibtex]
@InProceedings{Ershov_2024_CVPR, author = {Ershov, Egor and Panshin, Artyom and Karasev, Oleg and Korchagin, Sergey and Lev, Shepelev and Startsev, Alexandr and Vladimirov, Daniil and Zaychenkova, Ekaterina and Bani\'c, Nikola and Iarchuk, Dmitrii R and Efimove, Maria and Timofte, Radu and Terekhin, Arseniy}, title = {NTIRE 2024 Challenge on Night Photography Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6702-6711} }