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SoftDECA: Computationally Efficient Physics-Based Facial Animations

Published: 15 November 2023 Publication History

Abstract

Facial animation on computationally weak systems is still mostly dependent on linear blendshape models. However, these models suffer from typical artifacts such as loss of volume, self-collisions, or erroneous soft tissue elasticity. In addition, while extensive effort is required to personalize blendshapes, there are limited options to simulate or manipulate physical and anatomical properties once a model has been crafted. Finally, second-order dynamics can only be represented to a limited extent.
For decades, physics-based facial animation has been investigated as an alternative to linear blendshapes but is still cumbersome to deploy and results in high computational cost at runtime. We propose SoftDECA, an approach that provides the benefits of physics-based simulation while being as effortless and fast to use as linear blendshapes. SoftDECA is a novel hypernetwork that efficiently approximates a FEM-based facial simulation while generalizing over the comprehensive DECA model of human identities, facial expressions, and a wide range of material properties that can be locally adjusted without re-training. Along with SoftDECA, we introduce a pipeline for creating the needed high-resolution training data. Part of this pipeline is a novel layered head model that densely positions the biomechanical anatomy within a skin surface while avoiding self-intersections.

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Cited By

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  • (2024)Neutral Facial Rigging from Limited Spatiotemporal MeshesElectronics10.3390/electronics1313244513:13(2445)Online publication date: 21-Jun-2024
  • (2024)Improving Realism of Facial Interpolation and Blendshapes with Analytical Partial Differential Equation-Represented PhysicsAxioms10.3390/axioms1303018513:3(185)Online publication date: 12-Mar-2024
  • (2024)Fabrig: A Cloth-Simulated Transferable 3D Face ParameterizationSIGGRAPH Asia 2024 Conference Papers10.1145/3680528.3687695(1-10)Online publication date: 3-Dec-2024
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cover image ACM Conferences
MIG '23: Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games
November 2023
224 pages
ISBN:9798400703935
DOI:10.1145/3623264
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Publication History

Published: 15 November 2023

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Author Tags

  1. Deep Learning
  2. Facial Animation
  3. Physics-Based Simulation

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Cited By

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  • (2024)Neutral Facial Rigging from Limited Spatiotemporal MeshesElectronics10.3390/electronics1313244513:13(2445)Online publication date: 21-Jun-2024
  • (2024)Improving Realism of Facial Interpolation and Blendshapes with Analytical Partial Differential Equation-Represented PhysicsAxioms10.3390/axioms1303018513:3(185)Online publication date: 12-Mar-2024
  • (2024)Fabrig: A Cloth-Simulated Transferable 3D Face ParameterizationSIGGRAPH Asia 2024 Conference Papers10.1145/3680528.3687695(1-10)Online publication date: 3-Dec-2024
  • (2024)Learning a Generalized Physical Face Model From DataACM Transactions on Graphics10.1145/365818943:4(1-14)Online publication date: 19-Jul-2024
  • (2024)A review of motion retargeting techniques for 3D character facial animationComputers & Graphics10.1016/j.cag.2024.104037123(104037)Online publication date: Oct-2024
  • (2024)AnaConDaR: Anatomically-Constrained Data-Adaptive Facial RetargetingComputers & Graphics10.1016/j.cag.2024.103988122(103988)Online publication date: Aug-2024
  • (2024)SparseSoftDECA — Efficient high-resolution physics-based facial animation from sparse landmarksComputers & Graphics10.1016/j.cag.2024.103903119(103903)Online publication date: Apr-2024
  • (2024)Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic InterventionsComputer Vision – ACCV 202410.1007/978-981-96-0911-6_26(443-464)Online publication date: 8-Dec-2024
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  • (2024)A Facial Motion Retargeting Pipeline for Appearance Agnostic 3D CharactersComputer Animation and Virtual Worlds10.1002/cav.7000135:6Online publication date: 19-Nov-2024

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