NTIRE 2022 challenge on night photography rendering

Name: NTIRE 2022 challenge on night photography rendering
Author: Ershov, E., Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan

İsim	NTIRE 2022 challenge on night photography rendering
Yazar	Ershov, E., Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan
Basım Tarihi:	2022
Basım Yeri	- IEEE
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-166548739-9
Kayıt Numarası	33996f11-aed1-4b34-a0f3-63898d90f68f
Lokasyon	Computer Science
Tarih	2022
Notlar	Croatian Science Foundation ; Huawei Technologies ; Reality Labs ; Bending Spoons ; MediaTek
Örnek Metin	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.
DOI	10.1109/CVPRW56347.2022.00135
Cilt	2022-June

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NTIRE 2022 challenge on night photography rendering

Yazar Ershov, E., Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan

Basım Tarihi 2022

Basım Yeri - IEEE

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-166548739-9

Kayıt Numarası 33996f11-aed1-4b34-a0f3-63898d90f68f

Lokasyon Computer Science

Tarih 2022

Notlar Croatian Science Foundation ; Huawei Technologies ; Reality Labs ; Bending Spoons ; MediaTek

Örnek Metin 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.

DOI 10.1109/CVPRW56347.2022.00135

Cilt 2022-June