Introduction to Diffusion Models for Machine Learning
Introduction to Diffusion Models for Machine Learning
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Artificial Intelligence | AI on Instagram: "Denoising Diffusion Implicit Models (DDIM) are a variant of diffusion models that aim to speed up sampling while maintaining high-quality results. In standard Denoising Diffusion Probabilistic Models (DDPM), data generation requires many small iterative denoising steps, often hundreds or even thousands, making the process slow. DDIM modifies the sampling process by introducing a new formulation that follows a deterministic trajectory through the latent
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