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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 Iarchuk
Maria Efimova
Radu Timofte
A. Terekhin
Shuwei Yue
Yuyang Liu
Minchen Wei
Lu Xu
Chao Zhang
Yasi Wang
Furkan Kınlı
Doğa Yılmaz
Barış Özcan
Furkan Kıraç
Shuai Liu
Jingyuan Xiao
Chaoyu Feng
Hao Wang
Guangqi Shao
Yuqian Zhang
Yibin Huang
Wei Luo
Liming Wang
Xiaotao Wang
Lei Lei
Simone Zini
C. Rota
M. 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
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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