Publication:
NTIRE 2023 challenge on night photography rendering

dc.contributor.authorShutova, A.
dc.contributor.authorKınlı, Osman Furkan
dc.contributor.authorÖzcan, Barış
dc.contributor.authorKıraç, Mustafa Furkan
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorKINLI, Osman Furkan
dc.contributor.ozuauthorKIRAÇ, Mustafa Furkan
dc.contributor.ozugradstudentÖzcan, Barış
dc.date.accessioned2024-01-23T10:21:05Z
dc.date.available2024-01-23T10:21:05Z
dc.date.issued2023
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.identifier.doi10.1109/CVPRW59228.2023.00192en_US
dc.identifier.endpage1993en_US
dc.identifier.isbn979-835030249-3
dc.identifier.issn2160-7508en_US
dc.identifier.scopus2-s2.0-85168261632
dc.identifier.startpage1982en_US
dc.identifier.urihttp://hdl.handle.net/10679/9063
dc.identifier.urihttps://doi.org/10.1109/CVPRW59228.2023.00192
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.titleNTIRE 2023 challenge on night photography renderingen_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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