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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035254Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221208T111500
DTEND;TZID=Asia/Seoul:20221208T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess234_gp_112@linklings.com
SUMMARY:Lessons and implications of moving from FACS to Machine Learning f
 or Digital Human Acting
DESCRIPTION:Featured Sessions\n\nLessons and implications of moving from F
 ACS to Machine Learning for Digital Human Acting\n\nSeymour\n\nThere are m
 any aspects as we explore and develop digital human pipelines built on Mac
 hine Learning (ML) compared to more traditional CGI FACS based approaches.
  Many of these issues are technical and after reviewing these technical ap
 proaches we will move beyond the technical to explore the implications for
  acting and actors when deploying ML such as Neural Rendering, VAEs(Deepfa
 kes) and GANs. Using technical examples the talk will discuss some of the 
 obligations we have in our relationship with actors, issues of data owners
 hip and allowing the creative team to maintain authorship and direction of
  the performances in this new 'open green fields' area of ML driven digita
 l humans.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, E
 XPERIENCE ACCESS, ON-DEMAND ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n
 \nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=gp_112&sess=sess234
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