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DTSTAMP:20240214T070250Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T130000
DTEND;TZID=Australia/Melbourne:20231215T133000
UID:siggraphasia_SIGGRAPH Asia 2023_sess211_doc_118@linklings.com
SUMMARY:Modeling Dynamic Clothing for Data-Driven Photorealistic Avatars
DESCRIPTION:Doctoral Consortium\n\nDonglai Xiang (Carnegie Mellon Universi
 ty)\n\nThis thesis presents research on building photorealistic avatars of
  humans wearing complex clothing in a data-driven manner. First, we introd
 uce a separate two-layer representation that allows us to disentangle the 
 dynamics between the pose-driven body part and temporally-dependent clothi
 ng part. Second, we further combine physics-based cloth simulation with a 
 physics-inspired neural rendering model to generate rich and natural dynam
 ics and appearance even for challenging clothing such as a skirt and a dre
 ss. Last, we go beyond pose-driven animation and incorporate online sensor
  input into the avatars to achieve more faithful telepresence of clothing.
 \n\nRegistration Category: Full Access\n\nSession Chair: Aaron Quigley (CS
 IRO's Data61)
URL:https://asia.siggraph.org/2023/full-program?id=doc_118&sess=sess211
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