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NTIRE 2022 challenge on night photography rendering

Title	NTIRE 2022 challenge on night photography rendering
Author	Ershov, E., Kınlı, Osman Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Mustafa Furkan
Publication Date:	2022
Publication Place	- IEEE
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-166548739-9
Record ID	33996f11-aed1-4b34-a0f3-63898d90f68f
Library Location	Computer Science
Date	2022
Notes	Croatian Science Foundation ; Huawei Technologies ; Reality Labs ; Bending Spoons ; MediaTek
Sample Text	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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Özyeğin University

NTIRE 2022 challenge on night photography rendering

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

Publication Date 2022

Publication Place - IEEE

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-166548739-9

Record ID 33996f11-aed1-4b34-a0f3-63898d90f68f

Library Location Computer Science

Date 2022

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

Sample Text 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