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DTSTAMP:20250522T212943Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240730T140000
DTEND;TZID=America/Denver:20240730T141000
UID:siggraph_SIGGRAPH 2024_sess115_paperstog_119@linklings.com
SUMMARY:HAISOR: Human-Aware Indoor Scene Optimization via Deep Reinforceme
 nt Learning
DESCRIPTION:Jia-Mu Sun (Insititute of Computing Technology Chinese Academy
  of Sciences, University of Chinese Academy of Sciences); Jie Yang (Chines
 e Academy of Sciences Institute of Computing Technology); Kaichun Mo (NVID
 IA Research); Yukun Lai (Cardiff University); Leonidas Guibas (Stanford Un
 iversity); Lin Gao (University of the Chinese Academy of Sciences); and Ji
 a-Mu Sun\n\nHAISOR proposes a pipeline to use deep reinforcement learning 
 and Monte Carlo tree search to solve indoor scene optimization problem inc
 orporating human behavior including human-furniture interaction and free s
 pace of activities that is not differentiable.\n\nInterest Area: Research 
 & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Animation, Ge
 ometry, Machine Learning, Modeling\n\nRegistration Category: Full Conferen
 ce, Full Conference Supporter, Virtual Access, Exhibitor Full Conference, 
 Tuesday\n\nSession Chair: Stephen Lombardi (Google)\n\n
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