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<div align="center"> <h1>HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting</h1>

Zhenglin Zhou · Fan Ma · Hehe Fan · Yi Yang<sup>*</sup>

ReLER, CCAI, Zhejiang University

<sup>*</sup>corresponding authors

<a href='https://zhenglinzhou.github.io/HeadStudio-ProjectPage/'><img src='https://img.shields.io/badge/Project-Page-green'></a> <a href='https://arxiv.org/abs/2402.06149'><img src='https://img.shields.io/badge/Technique-Report-red'></a> GitHub

https://github.com/ZhenglinZhou/HeadStudio/assets/42434623/19893d52-8fe5-473d-b5c0-aea29d6be21a

</div>

Text to Head Avatars Generation

<p align="center"> <img src="./assets/teaser.png"> </p>

Text-based animatable avatars generation by HeadStudio.

Comparison with Previous Works

<p align="center"> <img src="./assets/comparison_static_avatar.png"> </p>

Comparison with the text to static avatar generation methods. HeadStudio excels at producing high-fidelity head avatars, yielding superior results.

<p align="center"> <img src="./assets/comparison_dynamic_avatar.png"> </p> <p align="center"> <img src="./assets/comparison_dynamic_avatar_2.png"> </p> Comparison with the text to dynamic avatar generation methods. HeadStudio provides effective semantic alignment, smooth expression deformation, and real-time rendering.

Acknowledgements

Cite

If you find HeadStudio useful for your research and applications, please cite us using this BibTeX:

@article{zhou2024headstudio,
  author = {Zhenglin Zhou and Fan Ma and Hehe Fan and Yi Yang},
  title = {HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting},
  journal={arXiv preprint arXiv:2402.06149},
  year={2024}
}