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dc.contributor.authorShutova, A.
dc.contributor.authorKınlı, Osman Furkan
dc.contributor.authorÖzcan, Barış
dc.contributor.authorKıraç, Mustafa Furkan
dc.date.accessioned2024-01-23T10:21:05Z
dc.date.available2024-01-23T10:21:05Z
dc.date.issued2023
dc.identifier.isbn979-835030249-3
dc.identifier.issn2160-7508en_US
dc.identifier.urihttp://hdl.handle.net/10679/9063
dc.identifier.urihttps://ieeexplore.ieee.org/document/10208763
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
dc.rightsrestrictedAccess
dc.titleNTIRE 2023 challenge on night photography renderingen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-9192-6583 & YÖK ID 283852) Kınlı, Furkan
dc.contributor.authorID(ORCID 0000-0001-9177-0489 & YÖK ID 124619) Kıraç, Furkan
dc.contributor.ozuauthorKınlı, Osman Furkan
dc.contributor.ozuauthorKıraç, Mustafa Furkan
dc.identifier.startpage1982en_US
dc.identifier.endpage1993en_US
dc.identifier.doi10.1109/CVPRW59228.2023.00192en_US
dc.identifier.scopusSCOPUS:2-s2.0-85168261632
dc.contributor.ozugradstudentÖzcan, Barış
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and PhD Student


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