CANDID: Correspondence AligNment for Deep-burst Image Denoising

dc.contributor.author	Mallick, Arijit
dc.contributor.author	Braun, Raphael
dc.contributor.author	Lensch, Hendrik P. A.
dc.date.accessioned	2023-11-03T09:33:57Z
dc.date.available	2023-11-03T09:33:57Z
dc.date.issued	2023-08-29
dc.identifier.isbn	979-8-3503-4139-3
dc.identifier.uri	http://hdl.handle.net/10900/147070
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://doi.org/10.1109/CRV60082.2023.00038	de_DE
dc.subject.ddc	004	de_DE
dc.title	CANDID: Correspondence AligNment for Deep-burst Image Denoising	de_DE
dc.type	Article	de_DE
utue.publikation.seiten	241-247	de_DE
utue.personen.roh	Mallick, Arijit
utue.personen.roh	Braun, Raphael
utue.personen.roh	Lensch, Hendrik P. A.
dcterms.isPartOf.ZSTitelID	2023 20th Conference on Robots and Vision (CRV)	de_DE