SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency

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dc.contributor.authorSun, Justinko
dc.contributor.authorBhattarai, Binodko
dc.contributor.authorChen, Zhixiangko
dc.contributor.authorKim, Tae-Kyunko
dc.date.accessioned2022-11-15T11:00:53Z-
dc.date.available2022-11-15T11:00:53Z-
dc.date.created2022-11-12-
dc.date.issued2022-06-19-
dc.identifier.citationIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), AI for Content Creation Workshop-
dc.identifier.urihttp://hdl.handle.net/10203/299693-
dc.languageEnglish-
dc.publisherIEEE, CVF-
dc.titleSeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), AI for Content Creation Workshop-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorKim, Tae-Kyun-
dc.contributor.nonIdAuthorSun, Justin-
dc.contributor.nonIdAuthorBhattarai, Binod-
dc.contributor.nonIdAuthorChen, Zhixiang-
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CS-Conference Papers(학술회의논문)
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