Generative models· 2019
Analyzing and Improving the Image Quality of StyleGAN
DOI 10.1109/cvpr42600.2020.00813arXiv 1912.04958OpenAlex W2995327724
On the reading lists
- #391 in the Top 500 (2026 edition)
- #25 in Generative models (2026 edition)
Why it matters
Removed synthesis artifacts and improved fidelity through architectural changes and regularization.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1912.04958)
- Published
- 2020
- Citations
- 7,281 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.386 · computed rank 391 · consensus 0.41, must-read 0, citations percentile 0.75 (2010s · 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.