MixtureTT performs direct per-stem timbre transfer on polyphonic mixtures via a shared diffusion transformer, outperforming single-stem baselines on SATB choral data while eliminating cascaded separation errors.
Multi-source diffusion models for simultaneous mu- sic generation and separation
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A shared continuous-latent flow model generates music from text/vision or extracts a target source from a mixture via visual-audio alignment, gated modulation, and dynamic modality masking.
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Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems
MixtureTT performs direct per-stem timbre transfer on polyphonic mixtures via a shared diffusion transformer, outperforming single-stem baselines on SATB choral data while eliminating cascaded separation errors.
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MAGE: Modality-Agnostic Music Generation and Target-Source Extraction
A shared continuous-latent flow model generates music from text/vision or extracts a target source from a mixture via visual-audio alignment, gated modulation, and dynamic modality masking.