hkchengrex/MMAudio
[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
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.
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Language
Python
License
MIT
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Last pushed
Feb 23, 2026
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