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One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| train the audio-visual correlation model on one speaker and transfer its learned speaking style | one-shot talking face generation · HDTF | LMD: 0.289 -> 0.271 | Helped |
| train the audio-visual correlation model on one speaker and transfer its learned speaking style | one-shot talking face generation · VoxCeleb2 | AVOff: 0.50 -> -0.08 | Helped |
| add phoneme input to the encoder (ablation) | AVCT · HDTF | LMD: 0.376 -> 0.274 | Helped |
| add audio features to the decoder (ablation) | AVCT · HDTF | AVConf: 6.59 -> 7.17 | Helped |
| add keypoint features to the decoder (ablation) | AVCT · HDTF | LMD: 0.418 -> 0.274 | Helped |
| use extracted keypoint features instead of the reference image (ablation) | AVCT · HDTF | FID: 0.210 -> 0.148 | Helped |
| add temporal and lip-sync discriminators through batched sequential training (ablation) | AVCT · HDTF | AVConf: 4.55 -> 7.17 | Helped |
| add the lip-sync discriminator (ablation) | AVCT · HDTF | AVConf: 5.53 -> 7.17 | Helped |
Closest papers by meaning
- Faces that Speak: Jointly Synthesising Talking Face and Speech from Text (CVPR 2024 · similarity 0.90)
- Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation (CVPR 2025 · similarity 0.89)
- OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking (NeurIPS 2025 · similarity 0.89)
- VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time (NeurIPS 2024 · similarity 0.89)
- From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech (CVPR 2025 · similarity 0.89)
- GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions (AAAI 2025 · similarity 0.89)
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