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Range-Null Space Decomposition offers a surprisingly effective and scalable approach to neural vocoders, outperforming existing methods while using a lightweight network structure.
Ditch the training data: S2CDR achieves state-of-the-art cross-domain recommendation by smoothing and sharpening user-item interactions with ODEs, all without any training.
Ditch mel-spectrograms: a hierarchical subspace latent diffusion model directly maps lip movements to audio codec latent space, achieving state-of-the-art lip-to-speech synthesis.
