Preliminaries on Diffusion Products. Diffusion probabilistic models ho2020denoising define a forward–reverse approach that transforms clean knowledge samples 0mathbf x _ 0 into Gaussian sound via a Markov chain and learns to invert this noising method. In latent diffusion styles rombach2022high, this process operates in a very compressed latent

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