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DTSTAMP:20240214T070249Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T103000
DTEND;TZID=Australia/Melbourne:20231215T110000
UID:siggraphasia_SIGGRAPH Asia 2023_sess211_doc_111@linklings.com
SUMMARY:Data-Driven Expressive 3D Facial Animation Synthesis for Digital H
 umans
DESCRIPTION:Doctoral Consortium\n\nKazi Injamamul Haque (Utrecht Universit
 y)\n\nThis contribution focuses on generating expressive 3D facial animati
 on for digital humans by studying and employing data-driven techniques. Fa
 ce is the first point of interest during human interaction, and it is not 
 any different for interacting with digital humans. Even minor inconsistenc
 ies in facial animation can disrupt user immersion. Traditional animation 
 workflows prove realistic but time-consuming and labor-intensive that cann
 ot meet the ever-increasing demand for 3D contents in recent years. Recent
  data-driven approaches focus on speech-driven lip synchrony, leaving out 
 facial expressiveness that resides throughout the face. We explore data-dr
 iven deep learning techniques for generating controllable, emotionally exp
 ressive facial animation.\n\nRegistration Category: Full Access\n\nSession
  Chair: Aaron Quigley (CSIRO's Data61)
URL:https://asia.siggraph.org/2023/full-program?id=doc_111&sess=sess211
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