Generative models· 2021
Diffusion Models Beat GANs on Image Synthesis
On the reading lists
- #282 in the Top 500 (2026 edition)
- #20 in Generative models (2026 edition)
Why it matters
Demonstrated diffusion's superiority in image quality and introduced influential classifier guidance.
Condensed from the expert lists' notes.
The record
- First released
- 2021 (from arXiv 2105.05233)
- Citations
- 13,342 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.458 · computed rank 282 · consensus 0.42, must-read 0, citations percentile 0.949 (2020s · generative-models), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.