LatentFlowSR achieves superior audio super-resolution by generating high-resolution latents from low-resolution ones via conditional flow matching in a noise-robust autoencoder latent space.
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SCOPE accelerates autoregressive video diffusion up to 4.73x by using a tri-modal cache-predict-recompute scheduler with Taylor extrapolation and selective active-frame computation while preserving output quality.
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LatentFlowSR: High-Fidelity Audio Super-Resolution via Noise-Robust Latent Flow Matching
LatentFlowSR achieves superior audio super-resolution by generating high-resolution latents from low-resolution ones via conditional flow matching in a noise-robust autoencoder latent space.
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Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation
SCOPE accelerates autoregressive video diffusion up to 4.73x by using a tri-modal cache-predict-recompute scheduler with Taylor extrapolation and selective active-frame computation while preserving output quality.