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dc.contributor.authorLin, Ji
dc.contributor.authorZhang, Richard
dc.contributor.authorGanz, Frieder
dc.contributor.authorHan, Song
dc.contributor.authorZhu, Jun-Yan
dc.date.accessioned2022-07-12T13:15:52Z
dc.date.available2022-07-12T13:15:52Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143669
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR46437.2021.01474en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcearXiven_US
dc.titleAnycost GANs for Interactive Image Synthesis and Editingen_US
dc.typeArticleen_US
dc.identifier.citationLin, Ji, Zhang, Richard, Ganz, Frieder, Han, Song and Zhu, Jun-Yan. 2021. "Anycost GANs for Interactive Image Synthesis and Editing." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
dc.contributor.departmentMassachusetts Institute of Technology. Microsystems Technology Laboratories
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journal2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-12T13:11:09Z
dspace.orderedauthorsLin, J; Zhang, R; Ganz, F; Han, S; Zhu, J-Yen_US
dspace.date.submission2022-07-12T13:11:22Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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