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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035312Z
LOCATION:Room 324\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221208T170000
DTEND;TZID=Asia/Seoul:20221208T183000
UID:siggraphasia_SIGGRAPH Asia 2022_sess167_tog_106@linklings.com
SUMMARY:Pivotal Tuning for Latent-based editing of Real Images
DESCRIPTION:Technical Communications, Technical Papers\n\nPivotal Tuning f
 or Latent-based editing of Real Images\n\nRoich, Mokady, Bermano, Cohen-Or
 \n\nWe bridge the distortion-editability tradeoff in StyleGAN inversion. B
 y slightly altering the generator, an out-of-domain image is faithfully ma
 pped into an in-domain latent code. The key idea is Pivotal Tuning — a bri
 ef training process that preserves the editing quality of an in-domain lat
 ent region, while changing its portrayed identity\n\nRegistration Category
 : FULL ACCESS, ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON,
  ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=tog_106&sess=sess167
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