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.
Denoising diffusion probabilis- tic models
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Schrödinger Bridge-based generative semantic communication (SBGSC) enables direct optimal distribution transport from semantics to images, cutting hallucinations and achieving 38% better FID, 49.3% better SSIM, and over 8x faster inference than prior GSC methods.
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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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Optimally Bridging Semantics and Data: Generative Semantic Communication via Schr\"odinger Bridge
Schrödinger Bridge-based generative semantic communication (SBGSC) enables direct optimal distribution transport from semantics to images, cutting hallucinations and achieving 38% better FID, 49.3% better SSIM, and over 8x faster inference than prior GSC methods.