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BEGIN:VEVENT
DTSTAMP:20250522T212942Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240801T140000
DTEND;TZID=America/Denver:20240801T141000
UID:siggraph_SIGGRAPH 2024_sess143_papers_847@linklings.com
SUMMARY:Categorical Codebook Matching for Embodied Character Controllers
DESCRIPTION:Sebastian Starke and Paul Starke (Facebook Reality Labs), Taku
  Komura (University of Hong Kong), and Yuting Ye (Facebook Reality Labs)\n
 \nThis work presents a generative VQ framework to translate movements of a
  real user onto a virtual embodied avatar using VR inputs. Our proposed co
 debook matching technique enables simultaneously learning and sampling the
  motions in form of Categorical probabilities and produces realistic full-
 body motion behaviors, accurately and with zero delay.\n\nInterest Area: R
 esearch & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Anima
 tion\n\nRegistration Category: Full Conference, Full Conference Supporter,
  Virtual Access, Exhibitor Full Conference, Thursday\n\nSession Chair: Tes
 eo Schneider (University of Victoria)\n\n
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