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DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_346@linklings.com
SUMMARY:VideoReTalking: Audio-based Lip Synchronization for Talking Head V
 ideo Editing In the Wild
DESCRIPTION:Technical Papers\n\nVideoReTalking: Audio-based Lip Synchroniz
 ation for Talking Head Video Editing In the Wild\n\nCheng, Cun, Zhang, Xia
 , Yin...\n\nWe present VideoReTalking, a new system to edit the faces of a
  real-world talking head video according to an input audio, producing a hi
 gh-quality and lip-syncing output video even with a different emotion.Our 
 system disentangles this objective into three sequential tasks: (1) face v
 ideo generation with a canonical expression; (2) audio-driven lip-sync; an
 d (3) face enhancement for improving photo-realism. Given a talking-head v
 ideo, we first modify the expression of each frame according to the same e
 xpression template using the expression editing network, resulting in a vi
 deo with the canonical expression. This video, together with a given audio
 , are then fed into the lip-sync network to generate a lip-syncing video. 
 Finally, we improve the photo-realism of the synthesized faces through an 
 identity-aware face enhancement network and post-processing. We use learni
 ng-based approaches for all three steps and all our modules can be tackled
  in a sequential pipeline without any user intervention. Furthermore, our 
 system is a generic approach that is not retrained to a specific video or 
 person. \nEvaluations on two widely-used datasets and in-the-wild examples
  demonstrate the superiority of our framework over other state-of-the-art 
 methods in terms of lip-sync accuracy and visual quality.\n\nRegistration 
 Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EX
 HIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_346&sess=sess15
 3
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