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Boosting Diffusion Models with an Adaptive Momentum Sampler
Our proposed sampler can be readily applied to a pre-trained diffusion model, utilizing momentum mechanisms and adaptive updating to smooth the reverse sampling process and ensure stable generation, resulting in outputs of enhanced quality.
Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility
Various gains are applied to the sub-band signals before they are recombined to form a modified version of the speech.
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