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arXiv · 2409.10848

3DFacePolicy: Audio-Driven 3D Facial Animation Based on Action Control

Xuanmeng Sha·Liyun Zhang·Tomohiro Mashita·Naoya Chiba·Yuki Uranishi
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Abstract

Audio-driven 3D facial animation has achieved significant progress in both research and applications. While recent baselines struggle to generate natural and continuous facial movements due to their frame-by-frame vertex generation approach, we propose 3DFacePolicy, a pioneer work that introduces a novel definition of vertex trajectory changes across consecutive frames through the concept of "action". By predicting action sequences for each vertex that encode frame-to-frame movements, we reformulate vertex generation approach into an action-based control paradigm. Specifically, we leverage a robotic control mechanism, diffusion policy, to predict action sequences conditioned on both audio and vertex states. Extensive experiments on VOCASET and BIWI datasets demonstrate that our approach significantly outperforms state-of-the-art methods and is particularly expert in dynamic, expressive and naturally smooth facial animations.

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Xuanmeng Sha, Liyun Zhang, Tomohiro Mashita, Naoya Chiba, Yuki Uranishi. 2024-09-17. 3DFacePolicy: Audio-Driven 3D Facial Animation Based on Action Control. https://arxiv.org/abs/2409.10848

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