Fabrig: A Cloth-Simulated Transferable 3D Face Parameterization
DescriptionExisting 3D face parameterization methods are limited to human faces and/or require a large amount of manual work to prepare face-specific blendshapes. Unfortunately, many of the automated parameterization methods do not provide local controls for the different facial regions and methods that allow the integration of physics-based simulations also suffer from limited character compatibility and editability. We propose a human face anatomy-inspired 3D face parameterization method called Fabrig, which is quick to set up, transferable among various characters, easily editable, and compatible with physics-based simulations. Instead of using conventional volume-centric simulation for the face anatomy, our method innovatively uses cloth simulation for lighter computation. The parameterized faces support physics-based effects like collision and show skin details such as dynamic wrinkles.
From 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 parameterized faces can be edited at the anatomical level while remaining intuitive to artists. Our evaluation results confirm that this new parameterization can accurately and naturally recreate the facial poses of a character or facial actions performed by a motion capture subject.
From 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 parameterized faces can be edited at the anatomical level while remaining intuitive to artists. Our evaluation results confirm that this new parameterization can accurately and naturally recreate the facial poses of a character or facial actions performed by a motion capture subject.
Event Type
Technical Papers
TimeTuesday, 3 December 20249:00am - 12:00pm JST
LocationHall C, C Block, Level 4
