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The Forward Noising Process That Destroys an Image into Gaussian Noise

the half of diffusion that requires no learning at all, and understanding that it is fixed is what makes the reverse process comprehensible

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How Diffusion Models Work

Diffusion models operate on the principle that image generation is a stochastic reversal process rather than direct construction, where synthetic data is recovered by iteratively denoising random Gau…