As pointed out by the DDPM paper, we can choose to reparameterize the prediction of the mean to prediction of the total noise "εθ is a function approximator intended to predict ε from x" (equation 11). Then, during sampling, why don't we directly remove the predicted total noise from the last step (pure noise), but instead sample images step-by-step?

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