Generative models· 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
On the reading lists
- #439 in the Top 500 (2026 edition)
- #29 in Generative models (2026 edition)
Why it matters
Demonstrated GAN scaling on ImageNet and introduced influential fidelity-diversity controls.
Condensed from the expert lists' notes.
The record
- First released
- 2018 (from arXiv 1809.11096)
- Published
- 2019
- Citations
- 6,324 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.365 · computed rank 439 · consensus 0.37, must-read 0.5, citations percentile 0.583 (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.