Denoising Diffusion Probabilistic Models (DDPM)

Denoising Diffusion Probabilistic Model (DDPM)

Generative architecture that learns to reverse a Gaussian diffusion process, by progressively adding noise to data and then training a network to predict the added noise to reconstruct the original.

← Back