Papers › CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
Jinbo Xing, Menghan Xia, Yuechen Zhang, Xiaodong Cun, Jue Wang, Tien-Tsin Wong
Speech-driven 3D facial animation has been widely studied, yet there is still a gap to achieving realism and vividness due to the highly ill-posed nature and scarcity of audio-visual data. Existing works typically formulate the cross-modal mapping into a regression task, which suffers from the regression-to-mean problem leading to over-smoothed facial motions. In this paper, we propose to cast speech-driven facial animation as a code query task in a finite proxy space of the learned codebook, which effectively promotes the vividness of the generated motions by reducing the cross-modal mapping uncertainty. The codebook is learned by self-reconstruction over real facial motions and thus embedded with realistic facial motion priors. Over the discrete motion space, a temporal autoregressive model is employed to sequentially synthesize facial motions from the input speech signal, which guarantees lip-sync as well as plausible facial expressions. We demonstrate that our approach outperforms current state-of-the-art methods both qualitatively and quantitatively. Also, a user study further justifies our superiority in perceptual quality.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Face Animation | BEAT2 | CodeTalker | MSE | 8.026 | #4 of 5 | Archive leaderboard | report |
| 3D Face Animation | Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2 | CodeTalker | FDD | 4.1170 | #4 of 5 | Archive leaderboard | report |
| 3D Face Animation | Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2 | CodeTalker | Lip Vertex Error | 4.7914 | #4 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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