MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models

Arxiv 2024

Zunnan Xu,  Yukang Lin,  Haonan Han,  Sicheng Yang,  Ronghui Li,  Yachao Zhang,  Xiu Li 
SIGS, Tsinghua University
Paper arXiv
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MambaTalk is an innovative gesture synthesis framework that leverages selective state space models to efficiently generate high-quality, diverse, and rhythmically synchronized 3D gestures and facial expressions from speech signals, addressing the challenge of high computational complexity.

Demo

BibTeX

@article{xu2024mambatalk,
    title={Mambatalk: Efficient holistic gesture synthesis with selective state space models},
    author={Xu, Zunnan and Lin, Yukang and Han, Haonan and Yang, Sicheng and Li, Ronghui and Zhang, Yachao and Li, Xiu},
    journal={arXiv preprint arXiv:2403.09471},
    year={2024}
}