dc.contributor.author | Niemeyer, Michael | |
dc.contributor.author | Geiger, Andreas | |
dc.date.accessioned | 2021-11-05T16:19:41Z | |
dc.date.available | 2021-11-05T16:19:41Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-1-6654-4509-2 | |
dc.identifier.uri | http://hdl.handle.net/10900/120527 | |
dc.language.iso | en | de_DE |
dc.publisher | IEEE | de_DE |
dc.relation.uri | http://dx.doi.org/10.1109/CVPR46437.2021.01129 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields | de_DE |
dc.type | Article | de_DE |
dc.type | ConferenceObject | de_DE |
utue.personen.roh | Niemeyer, Michael | |
utue.personen.roh | Geiger, Andreas | |
dcterms.isPartOf.ZSTitelID | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | de_DE |
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |