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DTSTAMP:20260817T171533Z
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:ChangAn Zhu and Chris Joslin (Carleton University)\n\nExisting
  3D face parameterization methods are limited to human faces and/or requir
 e a large amount of manual work to prepare face-specific blendshapes. Unfo
 rtunately, many of the automated parameterization methods do not provide l
 ocal controls for the different facial regions and methods that allow the 
 integration of physics-based simulations also suffer from limited characte
 r compatibility and editability. We propose a human face anatomy-inspired 
 3D face parameterization method called Fabrig, which is quick to set up, t
 ransferable among various characters, easily editable, and compatible with
  physics-based simulations. Instead of using conventional volume-centric s
 imulation for the face anatomy, our method innovatively uses cloth simulat
 ion for lighter computation. The parameterized faces support physics-based
  effects like collision and show skin details such as dynamic wrinkles.\nF
 rom our objective evaluation, we found that our method can parameterize th
 e faces of various characters, ranging from realistic humans to non-humans
 , without any labor-demanding preparation work. The parameterized faces ca
 n be edited at the anatomical level while remaining intuitive to artists. 
 Our evaluation results confirm that this new parameterization can accurate
 ly and naturally recreate the facial poses of a character or facial action
 s performed by a motion capture subject.\n\nRegistration Category: Full Ac
 cess, Full Access Supporter\n\nLanguage Format: English Language\n\nSessio
 n Chair: Hongbo Fu (Hong Kong University of Science and Technology)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_1197&sess=sess138
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