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DTSTAMP:20250522T212942Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240801T104500
DTEND;TZID=America/Denver:20240801T105500
UID:siggraph_SIGGRAPH 2024_sess146_papers_192@linklings.com
SUMMARY:Semantic Gesticulator: Semantics-aware Co-speech Gesture Synthesis
DESCRIPTION:Zeyi Zhang (Peking University, School of EECS); Tenglong Ao (S
 chool of Computer Science, Peking University); Yuyao Zhang (Renmin Univers
 ity of China); Qingzhe Gao (Shandong University, Peking University); Chuan
  Lin (Peking University); and Baoquan Chen and Libin Liu (Peking Universit
 y, State Key Laboratory of General Artificial Intelligence)\n\nWe introduc
 e Semantic Gesticulator, a novel framework designed to synthesize realisti
 c co-speech gestures with strong semantic correspondence. Semantic Gesticu
 lator fine-tunes an LLM to retrieve suitable semantic gesture candidates f
 rom a motion library. Combined with a novel, GPT-style generative model, t
 he generated gesture motions demonstrate strong rhythmic coherence and sem
 antic appropriateness.\n\nInterest Area: Research & Education\n\nRecording
 : Livestreamed, Recorded\n\nKeyword: Animation\n\nRegistration Category: F
 ull Conference, Full Conference Supporter, Virtual Access, Exhibitor Full 
 Conference, Thursday\n\nSession Chair: Anton Kaplanyan (Intel)\n\n
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