Research map / 3D vision / Face and shape
Capture, Learning, and Synthesis of 3D Speaking Styles
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use recorded performance instead of VOCA predictions | VOCA · Held-out test sequences | naturalness preference: 17 ± 9% -> 83 ± 9% | Helped |
| Use DeepSpeech features instead of fbank features (ablation) | VOCA · Unseen audio sequences | naturalness preference: 22 ± 16% -> 78 ± 16% | Helped |
| Condition on the matching subject style | VOCA · Style comparisons | style similarity judgments | Mixed |
| Change the reference and prediction to different sentences | VOCA style comparisons · Style comparisons | style similarity judgments | No clear effect |
Closest papers by meaning
- VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time (NeurIPS 2024 · similarity 0.89)
- Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications (CVPR 2024 · similarity 0.88)
- VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image (NeurIPS 2025 · similarity 0.87)
- FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models (CVPR 2024 · similarity 0.87)
- Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation (AAAI 2024 · similarity 0.87)
- ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition (AAAI 2025 · similarity 0.87)
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