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Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer

Published: 30 November 2022 Publication History

Abstract

We present Animatomy, a novel anatomic+animator centric representation of the human face. Present FACS-based systems are plagued with problems of face muscle separation, coverage, opposition, and redundancy. We, therefore, propose a collection of muscle fiber curves as an anatomic basis, whose contraction and relaxation provide us with a fine-grained parameterization of human facial expression. We build an end-to-end modular deformation architecture using this representation that enables: automatic optimization of the parameters of a specific face from high-quality dynamic facial scans; face animation driven by performance capture, keyframes, or dynamic simulation; interactive and direct manipulation of facial expression; and animation transfer from an actor to a character. We validate our facial system by showing compelling animated results, applications, and a quantitative comparison of our facial reconstruction to ground truth performance capture. Our system is being intensively used by a large creative team on Avatar: The Way of Water. We report feedback from these users as qualitative evaluation of our system.

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        cover image ACM Conferences
        SA '22: SIGGRAPH Asia 2022 Conference Papers
        November 2022
        482 pages
        ISBN:9781450394703
        DOI:10.1145/3550469
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        Published: 30 November 2022

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        Author Tags

        1. Facial modeling
        2. animation system
        3. data-driven animation
        4. deformation
        5. facial animation
        6. facial expression
        7. motion capture

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        SA '22: SIGGRAPH Asia 2022
        December 6 - 9, 2022
        Daegu, Republic of Korea

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        Overall Acceptance Rate 178 of 869 submissions, 20%

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        Cited By

        View all
        • (2024)S3: Speech, Script and Scene driven Head and Eye AnimationACM Transactions on Graphics10.1145/365817243:4(1-12)Online publication date: 19-Jul-2024
        • (2024)Compressed Skinning for Facial BlendshapesACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657477(1-9)Online publication date: 13-Jul-2024
        • (2024)Virtual Instrument Performances (VIP): A Comprehensive ReviewComputer Graphics Forum10.1111/cgf.1506543:2Online publication date: 30-Apr-2024
        • (2024)EmoStyle: One-Shot Facial Expression Editing Using Continuous Emotion Parameters2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00626(6373-6382)Online publication date: 3-Jan-2024
        • (2024)3D facial modeling, animation, and rendering for digital humans: A surveyNeurocomputing10.1016/j.neucom.2024.128168598(128168)Online publication date: Sep-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
        • (2023)SoftDECA: Computationally Efficient Physics-Based Facial AnimationsProceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3623264.3624439(1-11)Online publication date: 15-Nov-2023
        • (2023)HACK: Learning a Parametric Head and Neck Model for High-fidelity AnimationACM Transactions on Graphics10.1145/359209342:4(1-20)Online publication date: 26-Jul-2023
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