SOFA: Style-based One-shot 3D Facial Animation Driven by 2D landmarks
Authors: 
Pu Ching, Hung-Kuo Chu, Min-Chun HuAuthors Info & Claims
Pu Ching, Hung-Kuo Chu, Min-Chun HuAuthors Info & ClaimsPages 545 - 549
Abstract
We propose a 2D landmark-driven 3D facial animation framework trained without the need of 3D facial dataset. Our method decomposes the 3D facial avatar into geometry and texture. Given 2D landmarks as input, our models learn to estimate the parameters of FLAME and transfer the target texture into different facial expressions. The experiments show that our method achieves remarkable results. Using 2D landmarks as input data, our method has the potential to be deployed in a scenario that suffered from obtaining full RGB facial images (e.g., occluded by VR Head-mounted Display).
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Index Terms
- SOFA: Style-based One-shot 3D Facial Animation Driven by 2D landmarks
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Published In
June 2023
694 pages
ISBN:9798400701788
DOI:10.1145/3591106
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Published: 12 June 2023
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