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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250812T111500
DTEND;TZID=America/Los_Angeles:20250812T112500
UID:siggraph_SIGGRAPH 2025_sess150_papers_263@linklings.com
SUMMARY:Motion-example-controlled Co-speech Gesture Generation Leveraging 
 Large Language Models
DESCRIPTION:Bohong Chen (State Key Laboratory of CAD & CG, Zhejiang Univer
 sity) and Yumeng Li, Youyi Zheng, Yao-Xiang Ding, and Kun Zhou (State Key 
 Lab of CAD and CG, Zhejiang University)\n\nWe present a framework to utili
 ze Large Language Models (LLMs) for co-speech gesture generation with moti
 on examples as direct conditions. It enables multi-modal controls over co-
 speech gesture generation, such as motion clips, a single pose, human vide
 o, or even text prompts.\n\nInterest Area: Research & Education\n\nRecordi
 ng: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration
  Category: Full Conference, Virtual Access, Tuesday\n\nSession Chair: Shel
 don Andrews (École de Technologie Supérieure (ÉTS), McGill University)\n\n
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