Occupancy Networks: Learning 3D Reconstruction in Function Space

dc.contributor.author	Mescheder, Lars
dc.contributor.author	Oechsle, Michael
dc.contributor.author	Niemeyer, Michael
dc.contributor.author	Nowozin, Sebastian
dc.contributor.author	Geiger, Andreas
dc.date.accessioned	2020-12-28T18:24:25Z
dc.date.available	2020-12-28T18:24:25Z
dc.date.issued	2019-06
dc.identifier.isbn	978-1-7281-3293-8
dc.identifier.isbn	978-1-7281-3294-5
dc.identifier.uri	http://hdl.handle.net/10900/110952
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/CVPR.2019.00459	de_DE
dc.subject.ddc	004	de_DE
dc.title	Occupancy Networks: Learning 3D Reconstruction in Function Space	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Mescheder, Lars
utue.personen.roh	Oechsle, Michael
utue.personen.roh	Niemeyer, Michael
utue.personen.roh	Nowozin, Sebastian
utue.personen.roh	Geiger, Andreas
dcterms.isPartOf.ZSTitelID	2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	de_DE