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DTSTART:19721003T020000
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DTSTAMP:20240214T070250Z
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:Technical Communications, Technical Papers\n\nZhongfei Qing, Z
 hongang Cai, Zhitao Yang, and Lei Yang (SenseTime Research)\n\nWe introduc
 e Story-to-Motion, generating motion and trajectory from text, using a tex
 t-driven, controllable system that combines large language model, motion m
 atching, and neural blending for diverse and realistic motion generation.\
 n\nRegistration Category: Full Access\n\nSession Chair: Sergi Pujades (Nat
 ional Institute for Research in Computer Science and Automation (INRIA), U
 niversité Grenoble Alpes)
URL:https://asia.siggraph.org/2023/full-program?id=tcom_150&sess=sess156
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