Occupancy Networks: Learning 3D Reconstruction in Function Space

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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 Artikel de_DE
dc.type Konferenzveröffentlichung 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

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