hkchengrex/MMAudio

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

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Established

Leverages multimodal joint training across diverse audio-visual and audio-text datasets, enabling flexible video-to-audio or text-to-audio synthesis with a dedicated synchronization module (Synchformer) that temporally aligns generated audio to video frames. Built on PyTorch with CLIP-based visual encoding and operates efficiently in 16-bit precision (~6GB GPU memory), supporting variable input resolutions and frame rates through on-the-fly conversion.

2,115 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

2,115

Forks

246

Language

Python

License

MIT

Last pushed

Feb 23, 2026

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