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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240730T141000
DTEND;TZID=America/Denver:20240730T142000
UID:siggraph_SIGGRAPH 2024_sess115_papers_1127@linklings.com
SUMMARY:Physics-based Scene Layout Generation From Human Motion
DESCRIPTION:Jianan Li and Tao Huang (The Chinese University of Hong Kong),
  Qingxu Zhu (Tencent Robotics X), and Tien-Tsin Wong (The Chinese Universi
 ty of Hong Kong)\n\nWe present a physics-based framework that generates sc
 ene layouts from captured human motions. By simultaneously optimizing the 
 motion imitation character controller and the scene layout generator, our 
 method generates physically plausible and semantically reasonable scenes f
 or a range of motions.\n\nInterest Area: Research & Education\n\nRecording
 : Livestreamed, Recorded\n\nKeyword: Animation, Geometry, Machine Learning
 , Modeling\n\nRegistration Category: Full Conference, Full Conference Supp
 orter, Virtual Access, Exhibitor Full Conference, Tuesday\n\nSession Chair
 : Stephen Lombardi (Google)\n\n
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