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DTSTART:19721003T020000
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DTSTAMP:20260114T163714Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T115500
DTEND;TZID=Australia/Melbourne:20231215T120300
UID:siggraphasia_SIGGRAPH Asia 2023_sess156_tcom_150@linklings.com
SUMMARY:Story-to-Motion: Synthesizing Infinite and Controllable Character 
 Animation from Long Text
DESCRIPTION:Zhongfei Qing, Zhongang Cai, Zhitao Yang, and Lei Yang (SenseT
 ime Research)\n\nWe introduce Story-to-Motion, generating motion and traje
 ctory from text, using a text-driven, controllable system that combines la
 rge language model, motion matching, and neural blending for diverse and r
 ealistic motion generation.\n\nRegistration Category: Full Access\n\nSessi
 on Chair: Sergi Pujades (National Institute for Research in Computer Scien
 ce and Automation (INRIA), Université Grenoble Alpes)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=tcom_150&sess=sess156
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