| dc.contributor.author | Kim, Seung Wook | |
| dc.contributor.author | Philion, Jonah | |
| dc.contributor.author | Torralba, Antonio | |
| dc.contributor.author | Fidler, Sanja | |
| dc.date.accessioned | 2022-07-22T17:10:28Z | |
| dc.date.available | 2022-07-22T17:10:28Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/143990 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/CVPR46437.2021.00576 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | arXiv | en_US |
| dc.title | DriveGAN: Towards a Controllable High-Quality Neural Simulation | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Kim, Seung Wook, Philion, Jonah, Torralba, Antonio and Fidler, Sanja. 2021. "DriveGAN: Towards a Controllable High-Quality Neural Simulation." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.relation.journal | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-07-22T17:07:06Z | |
| dspace.orderedauthors | Kim, SW; Philion, J; Torralba, A; Fidler, S | en_US |
| dspace.date.submission | 2022-07-22T17:07:16Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
