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DTSTAMP:20260114T163706Z
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:Kazi Injamamul Haque (Utrecht University)\n\nThis contribution
  focuses on generating expressive 3D facial animation for digital humans b
 y studying and employing data-driven techniques. Face is the first point o
 f interest during human interaction, and it is not any different for inter
 acting with digital humans. Even minor inconsistencies in facial animation
  can disrupt user immersion. Traditional animation workflows prove realist
 ic but time-consuming and labor-intensive that cannot meet the ever-increa
 sing demand for 3D contents in recent years. Recent data-driven approaches
  focus on speech-driven lip synchrony, leaving out facial expressiveness t
 hat resides throughout the face. We explore data-driven deep learning tech
 niques for generating controllable, emotionally expressive facial animatio
 n.\n\nRegistration Category: Full Access\n\nSession Chair: Aaron Quigley (
 CSIRO's Data61)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=doc_111&sess=sess211
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