Machine learning models that can generate new data from training data are referro as generative models. Other generative models include flow-basmodels, variable autoencoders, and generative adversarial networks (GANs). ent quality photos. Diffusion models learn to recover the data by reversing this noise addition process after corrupting the training data by […]
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