PC-Talk — CVPR 2026 Checkpoints

Runtime checkpoints for PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation.

• Paper
• Project page
• Source code and full inference instructions

Download

Clone the source code and download the checkpoints directly into their runtime location:

git clone https://github.com/BQ-Wang0511/PC-Talk.git
cd PC-Talk
pip install -U huggingface_hub
hf download doubi-killer/PC-Talk --local-dir pctalk/checkpoints

The repository contains 12 model files (about 920 MB), preserving the layout expected by PC-Talk:

audio_encoder.pth
lac.pth
emc.pth
style_encoder.pth
liveportrait/
├── landmark.onnx
├── base_models/
│   ├── appearance_feature_extractor.pth
│   ├── motion_extractor.pth
│   ├── spade_generator.pth
│   └── warping_module.pth
└── retargeting_models/
    └── stitching_retargeting_module.pth
insightface/models/buffalo_l/
├── 2d106det.onnx
└── det_10g.onnx

lac.pth includes both the LAC model and its refinement model. EMC is used for emotion control; the style encoder is used for reference-style input. The LivePortrait and face-analysis weights are included for the inference backend.

The original SHA256SUMS manifest uses paths relative to the source-code repository root. After downloading, verify the files from that root:

sha256sum -c pctalk/checkpoints/SHA256SUMS

These are downloadable inference assets, not a Transformers-format model. Use the PC-Talk source code to run inference. See its README for installation, image/video examples, emotion controls and articulation settings.

Usage terms and safety

The source-code license does not automatically license every model weight. Third-party components retain their upstream terms:

• LivePortrait
• InsightFace
• Wav2Lip

In particular, the InsightFace model assets are restricted to non-commercial research use and must be replaced for commercial deployment. Consult the upstream licenses and the source repository's third-party notices before use. Only load PyTorch checkpoints from trusted sources.

Citation

@inproceedings{wang2026pc,
  title={PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation},
  author={Wang, Baiqin and Zhu, Xiangyu and Shen, Fan and Xu, Hao and Lei, Zhen},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={25153--25162},
  year={2026}
}