| --- |
| license: other |
| library_name: pytorch |
| tags: |
| - co-speech-gesture-generation |
| - co-speech-motion-generation |
| - speech-driven-motion |
| - human-motion-generation |
| - beat2 |
| - smpl-x |
| - semtalk |
| datasets: |
| - H-Liu1997/BEAT2 |
| --- |
| |
| # SemTalk official checkpoints |
|
|
| Official checkpoints for **SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis** (ICCV 2025), a semantic-aware approach to holistic **co-speech gesture generation**. |
|
|
| - [Paper](https://arxiv.org/abs/2412.16563) · [Hugging Face Paper page](https://huggingface.co/papers/2412.16563) |
| - [Project page](https://xiangyuezhang.com/SemTalk/) · [Code](https://github.com/Xiangyue-Zhang/SemTalk) |
| - [Published version](https://doi.org/10.1109/ICCV51701.2025.01277) |
| - [Generated inference data](https://huggingface.co/datasets/X-Zhang/SemTalk-Inference-Data) |
|
|
| ## Files |
|
|
| | Archive | Protocol | Contents | |
| | --- | --- | --- | |
| | `weights_semtalk_no_smplx.zip` | Speaker 2, paper protocol | Original pretrained representation models and SemTalk checkpoints; SMPL-X files excluded | |
| | `SemTalk_all_speakers_weights_25spk.zip` | 25 English BEAT2 speakers | Five representation models and selected Base/Sparse checkpoints | |
|
|
| The two archives implement different training protocols and should not be treated as a controlled single-speaker versus multi-speaker ablation. See the code repository for installation paths and configuration details. |
|
|
| Verify both downloads with `sha256sum -c SHA256SUMS`. |
|
|
| ## Reported results |
|
|
| | Protocol | Speakers | FGD ↓ | BC ↑ | DIV ↑ | MSE ↓ | LVD ↓ | |
| | --- | ---: | ---: | ---: | ---: | ---: | ---: | |
| | Speaker 2 (paper) | 1 | 0.4278 | 0.7770 | 12.910 | 6.153e-8 | 6.938e-5 | |
| | Released all-speaker checkpoint | 25 | 0.3556 | 0.5097 | 8.409 | 4.439e-8 | 1.435e-5 | |
|
|
| The first row is from the paper. The second row is from the released all-speaker checkpoint. Their protocols differ. |
|
|
| ## Terms |
|
|
| This repository mirrors research artifacts released by the authors. No new license is granted by this model card. The Hugging Face archives intentionally exclude `SMPLX_NEUTRAL_2020.npz`; obtain SMPL-X directly from the [official source](https://smpl-x.is.tue.mpg.de/) under its terms. Code, BEAT2, pretrained encoders, and other third-party assets remain subject to their respective terms. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{zhang2025semtalk, |
| title={SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis}, |
| author={Zhang, Xiangyue and Li, Jianfang and Zhang, Jiaxu and Dang, Ziqiang and Ren, Jianqiang and Bo, Liefeng and Tu, Zhigang}, |
| booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, |
| pages={13761--13771}, |
| year={2025}, |
| doi={10.1109/ICCV51701.2025.01277} |
| } |
| ``` |
|
|
