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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241205T172800
DTEND;TZID=Asia/Tokyo:20241205T174000
UID:siggraphasia_SIGGRAPH Asia 2024_sess138_papers_1197@linklings.com
SUMMARY:Fabrig: A Cloth-Simulated Transferable 3D Face Parameterization
DESCRIPTION:Technical Papers\n\nChangAn Zhu and Chris Joslin (Carleton Uni
 versity)\n\nExisting 3D face parameterization methods are limited to human
  faces and/or require a large amount of manual work to prepare face-specif
 ic blendshapes. Unfortunately, many of the automated parameterization meth
 ods do not provide local controls for the different facial regions and met
 hods that allow the integration of physics-based simulations also suffer f
 rom limited character compatibility and editability. We propose a human fa
 ce anatomy-inspired 3D face parameterization method called Fabrig, which i
 s quick to set up, transferable among various characters, easily editable,
  and compatible with physics-based simulations. Instead of using conventio
 nal volume-centric simulation for the face anatomy, our method innovativel
 y uses cloth simulation for lighter computation. The parameterized faces s
 upport physics-based effects like collision and show skin details such as 
 dynamic wrinkles.\nFrom our objective evaluation, we found that our method
  can parameterize the faces of various characters, ranging from realistic 
 humans to non-humans, without any labor-demanding preparation work. The pa
 rameterized faces can be edited at the anatomical level while remaining in
 tuitive to artists. Our evaluation results confirm that this new parameter
 ization can accurately and naturally recreate the facial poses of a charac
 ter or facial actions performed by a motion capture subject.\n\nRegistrati
 on Category: Full Access, Full Access Supporter\n\nLanguage Format: Englis
 h Language\n\nSession Chair: Hongbo Fu (Hong Kong University of Science an
 d Technology)
URL:https://asia.siggraph.org/2024/program/?id=papers_1197&sess=sess138
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