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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T111500
DTEND;TZID=America/Los_Angeles:20250813T112500
UID:siggraph_SIGGRAPH 2025_sess153_papers_1048@linklings.com
SUMMARY:ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressi
 ons
DESCRIPTION:Shivangi Aneja (Technical University of Munich, DisneyResearch
 |Studios); Sebastian Weiss, Irene Baeza, Prashanth Chandran, and Gaspard Z
 oss (DisneyResearch|Studios); Matthias Niessner (Technical University Muni
 ch); and Derek Bradley (DisneyResearch|Studios)\n\nScaffoldAvatar presents
  a novel approach for reconstructing ultra-high fidelity animatable head a
 vatars, which can be rendered in real-time. Our method operates on patch-b
 ased local expression features and synthesizes 3D Gaussians dynamically by
  leveraging tiny scaffold MLPs. We employ color-based densification and pr
 ogressive training to obtain high-quality results and fast convergence.\n\
 nInterest Area: Research & Education\n\nRecording: Livestreamed, Not Lives
 treamed, Recorded, Not Recorded\n\nRegistration Category: Full Conference,
  Virtual Access, Wednesday\n\nSession Chair: Bernd Bickel (ETH Zürich, Goo
 gle)\n\n
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