Video to Audio pipeline consists of a visual encoder, a text encoder, UNet diffusion model to generate spectrogram and Griffin-lim algorithm to convert spectrogram into audio.
Visual and text encoders share the same multimodal visual language decoder (
cogvlm2-video-llama3-chat
).
Our UNet diffusion model is a finetune of the music generation model
riffusion
. We made modifications in the architecture to condition on video frames and improve the synchronization between video and audio. Also, we replace the text encoder with the decoder of
cogvlm2-video-llama3-chat
.
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