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BEGIN:VEVENT
DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_1111@linklings.com
SUMMARY:Text-guided Synthesis of Crowd Animation
DESCRIPTION:Xuebo Ji (University of Hong Kong, Centre for Transformative G
 arment Production (TransGP)); Zherong Pan and Xifeng Gao (Tencent America)
 ; and Jia Pan (University of Hong Kong, Centre for Transformative Garment 
 Production (TransGP))\n\nThis paper presents a novel approach to automatic
 ally generate crowd behaviors from high-level text descriptions. The group
 -wise, velocity-field-based representation of collective agent behaviors i
 s used and seamlessly integrated with diffusion models and large language 
 models. This work paves the way toward automatic crowd behavior generation
  for virtual environments.\n\nInterest Area: Arts & Design, Production & A
 nimation, Research & Education\n\nRecording: Livestreamed, Recorded\n\nReg
 istration Category: Full Conference, Full Conference Supporter, Virtual Ac
 cess, Experience, Exhibitor Full Conference, Exhibitor Experience, Sunday\
 n\n
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