NTIRE 2023 challenge on night photography rendering

Name: NTIRE 2023 challenge on night photography rendering
Author: Shutova, A., Kınlı, Osman Furkan, Özcan, Barış, Kıraç, Mustafa Furkan

İsim	NTIRE 2023 challenge on night photography rendering
Yazar	Shutova, A., Kınlı, Osman Furkan, Özcan, Barış, Kıraç, Mustafa Furkan
Basım Tarihi:	2023
Basım Yeri	- IEEE
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-835030249-3
Kayıt Numarası	5c37d093-f4a5-47ba-96b2-40fa56973edd
Lokasyon	Computer Science
Tarih	2023
Örnek Metin	This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. 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. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.
DOI	10.1109/CVPRW59228.2023.00192

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Özyeğin Üniversitesi

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NTIRE 2023 challenge on night photography rendering

Yazar Shutova, A., Kınlı, Osman Furkan, Özcan, Barış, Kıraç, Mustafa Furkan

Basım Tarihi 2023

Basım Yeri - IEEE

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-835030249-3

Kayıt Numarası 5c37d093-f4a5-47ba-96b2-40fa56973edd

Lokasyon Computer Science

Tarih 2023

Örnek Metin This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. 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. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.

DOI 10.1109/CVPRW59228.2023.00192