Papers › FaceFormer: Speech-Driven 3D Facial Animation with Transformers
FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura
Speech-driven 3D facial animation is challenging due to the complex geometry of human faces and the limited availability of 3D audio-visual data. Prior works typically focus on learning phoneme-level features of short audio windows with limited context, occasionally resulting in inaccurate lip movements. To tackle this limitation, we propose a Transformer-based autoregressive model, FaceFormer, which encodes the long-term audio context and autoregressively predicts a sequence of animated 3D face meshes. To cope with the data scarcity issue, we integrate the self-supervised pre-trained speech representations. Also, we devise two biased attention mechanisms well suited to this specific task, including the biased cross-modal multi-head (MH) attention and the biased causal MH self-attention with a periodic positional encoding strategy. The former effectively aligns the audio-motion modalities, whereas the latter offers abilities to generalize to longer audio sequences. Extensive experiments and a perceptual user study show that our approach outperforms the existing state-of-the-arts. The code will be made available.
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Code Syntology ran Syntology
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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 | FaceFormer | MSE | 7.787 | #2 of 5 | Archive leaderboard | report |
| 3D Face Animation | Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2 | FaceFormer | FDD | 4.6408 | #5 of 5 | Archive leaderboard | report |
| 3D Face Animation | Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2 | FaceFormer | Lip Vertex Error | 5.3077 | #5 of 5 | Archive leaderboard | report |
| 3D Face Animation | VOCASET | FaceFormer | Lip Vertex Error | 5.3742 | #1 of 2 | 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.
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