Generative models· 2022
Classifier-Free Diffusion Guidance
On the reading lists
- #179 in the Top 500 (2026 edition)
- #11 in Generative models (2026 edition)
Why it matters
Enabled powerful conditional generation without external classifiers; ubiquitous in text-to-image systems.
Condensed from the expert lists' notes.
The record
- First released
- 2022 (from arXiv 2207.12598)
- Citations
- 7,440 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.559 · computed rank 179 · consensus 0.83, must-read 0.5, citations percentile 0.744 (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.