Methods › Computer Vision › Generative Adversarial Networks › StyleMapGAN
StyleMapGAN
Introduced by Hyunsu Kim et al. in Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
StyleMapGAN is a generative adversarial network for real-time image editing. The intermediate latent space has spatial dimensions, and a spatially variant modulation replaces AdaIN. It aims to make the embedding through an encoder more accurate than existing optimization-based methods while maintaining the properties of GANs.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing 30 Apr 2021 · 1 repository · arXiv:2104.14754
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Manipulation | 1 |
| valid | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections