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Reference TypeConference Paper (Conference Proceedings)
Last Update2020:
Metadata Last Update2020: administrator
Citation KeyAlegreOliv:2020:InMuTr
TitleSelfieArt: Interactive Multi-Style Transfer for Selfies and Videos with Soft Transitions
DateNov. 7-10, 2020
Access Date2021, Jan. 19
Number of Files1
Size9734 KiB
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Author1 Alegre, Lucas N.
2 Oliveira, Manuel M.
Affiliation1 Universidade Federal do Rio Grande do Sul (UFRGS)
2 Universidade Federal do Rio Grande do Sul (UFRGS)
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationVirtual
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2020-09-10 17:52:55 :: -> administrator ::
2020-10-28 20:46:47 :: administrator -> :: 2020
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsmulti-style transfer,semantic segmentation,selfie.
AbstractWe introduce SelfieArt, an interactive technique for performing multi-style transfer for portraits and videos. Our method provides a simple and intuitive way of producing exquisite artistic results that combine multiple styles in a harmonious fashion. It uses face parsing and a multi-style transfer model to apply different styles to the various semantic segments. This is achieved using parameterized soft masks, allowing users to adjust the smoothness of the transitions between stylized regions in real-time. We demonstrate the effectiveness of our solution on a large set of images and videos. Given its flexibility, speed, and quality of results, our solution can be a valuable tool for creative exploration, allowing anyone to transform photographs and drawings in world-class artistic results.
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Next Higher Units8JMKD3MGPEW34M/43G4L9S
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