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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T104500
DTEND;TZID=America/Los_Angeles:20250813T105500
UID:siggraph_SIGGRAPH 2025_sess153_papers_614@linklings.com
SUMMARY:Model See Model Do: Speech-Driven Facial Animation with Style Cont
 rol
DESCRIPTION:Yifang Pan (University of Toronto; Jali Research, Canada); Kar
 an Singh (University of Toronto); and Luiz Gustavo Hafemann (Ubisoft)\n\nM
 odelSeeModelDo presents a speech-driven 3D facial animation method using a
  latent diffusion model conditioned on a reference clip to capture nuanced
  performance styles. A novel "style basis" mechanism extracts key poses to
  guide generation, achieving expressive, temporally coherent animations wi
 th accurate lip-sync and strong stylistic fidelity across diverse speech i
 nputs.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed, 
 Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full Co
 nference, Virtual Access, Wednesday\n\nSession Chair: Bernd Bickel (ETH Zü
 rich, Google)\n\n
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