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TMElyralab/MuseV

A diffusion model for generating infinite-length high-fidelity virtual human videos using visual conditioned parallel denoising.

2.8k stars Python Image · Video · Audio
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MuseV is a diffusion-based video generation framework designed specifically for virtual human creation. It introduces a Visual Conditioned Parallel Denoising scheme that enables infinite-length video generation while maintaining high fidelity. The project is part of an open-source virtual human ecosystem (alongside MuseTalk and MusePose) and is maintained by Tencent Music Entertainment’s Lyra Lab.

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