Convolutional Occupancy Networks

dc.contributor.author	Niemeyer, Michael
dc.contributor.author	Mescheder, Lars
dc.contributor.author	Geiger, Andreas
dc.date.accessioned	2021-11-05T16:29:14Z
dc.date.available	2021-11-05T16:29:14Z
dc.date.issued	2020
dc.identifier.isbn	978-3-030-58579-2
dc.identifier.isbn	978-3-030-58580-8
dc.identifier.uri	http://hdl.handle.net/10900/120528
dc.language.iso	en	de_DE
dc.publisher	Cham: Springer	de_DE
dc.relation.ispartofseries	Lecture Notes in Computer Science;12348
dc.relation.uri	https://doi.org/10.1007/978-3-030-58580-8_31	de_DE
dc.subject.ddc	004	de_DE
dc.title	Convolutional Occupancy Networks	de_DE
dc.type	BookPart	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Peng, Songyou
utue.personen.roh	Niemeyer, Michael
utue.personen.roh	Mescheder, Lars
utue.personen.roh	Pollefeys, Marc
utue.personen.roh	Geiger, Andreas
utue.publikation.buchdesbeitrags	Vedaldi A., Bischof H., Brox T., Frahm JM. (eds) Computer Vision – ECCV 2020	de_DE

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