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PRODID:Linklings LLC
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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_tog_106@linklings.com
SUMMARY:Pivotal Tuning for Latent-based editing of Real Images
DESCRIPTION:Technical Papers\n\nPivotal Tuning for Latent-based editing of
  Real Images\n\nRoich, Mokady, Bermano, Cohen-Or\n\nWe bridge the distorti
 on-editability tradeoff in StyleGAN inversion. By slightly altering the ge
 nerator, an out-of-domain image is faithfully mapped into an in-domain lat
 ent code. The key idea is Pivotal Tuning — a brief training process that p
 reserves the editing quality of an in-domain latent region, while changing
  its portrayed identity\n\nRegistration Category: FULL ACCESS, EXPERIENCE 
 PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFo
 rmat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=tog_106&sess=sess153
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