Historical context & research account
DDPM demonstrates high-quality image synthesis with diffusion probabilistic models. In contrast with a GAN's direct generation, diffusion constructs an image through an iterative process of reversing noise. This approach subsequently becomes a major technical basis for text-to-image systems after 2022.
Dates & version record
Date displayed for this node：2020 · Date recorded in the research master：2020
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Original sources & further reading
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Denoising Diffusion Probabilistic Models
https://arxiv.org/abs/2006.11239
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Provenance, translation & verification
Archive node #069 · Historical node
Research masters & supplement references · 1
AI Art Genealogy Research Master · p. 21 · 069
Date as recorded: 2020
Denoising Diffusion Probabilistic Models ↗
Denoising Diffusion Probabilistic Models
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ANTI-AI ARCHIVE. Denoising Diffusion Probabilistic Models. Art-history node #069. https://salondesrefuses.cn/en/art-history/069
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