dc.contributor.author | Niemeyer, Michael | |
dc.contributor.author | Mescheder, Lars | |
dc.contributor.author | Oechsle, Michael | |
dc.contributor.author | Geiger, Andreas | |
dc.date.accessioned | 2021-11-12T14:46:39Z | |
dc.date.available | 2021-11-12T14:46:39Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/10900/120734 | |
dc.language.iso | en | de_DE |
dc.publisher | IEEE | de_DE |
dc.relation.uri | http://dx.doi.org/10.1109/CVPR42600.2020.00356 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision | de_DE |
dc.type | Article | de_DE |
dc.type | ConferenceObject | de_DE |
utue.kommentar.intern | Preprint verfügbar auf arXiv: https://doi.org/10.48550/arXiv.1912.07372 | de_DE |
utue.publikation.seiten | 3501 - 3512 | de_DE |
utue.personen.roh | Niemeyer, Michael | |
utue.personen.roh | Mescheder, Lars | |
utue.personen.roh | Oechsle, Michael | |
utue.personen.roh | Geiger, Andreas | |
dcterms.isPartOf.ZSTitelID | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | de_DE |
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