Diffusion Model

AI and Machine Learning · Generative Models · 2020 · also: DDPM · diffusion-model.yaml

Learns to reverse a gradual noising process, generating by denoising repeatedly from pure noise. Trades sampling speed for stable training and far better mode coverage than adversarial methods.

Colour is the family; a dashed line is the second member of it.

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G classifier-free-guidance Classifier-Free Guidance diffusion-model Diffusion Model classifier-free-guidance->diffusion-model conditioning alone is too weak to follow a prompt generative-adversarial-network Generative Adversarial Network diffusion-model->generative-adversarial-network a stable objective instead of a minimax game that collapses neural-denoising Learned Denoising diffusion-model->neural-denoising denoises repeatedly, from pure noise, to synthesise latent-diffusion Latent Diffusion latent-diffusion->diffusion-model denoising at pixel resolution is prohibitively expensive

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