Methods › Computer Vision › Generative Adversarial Networks › U-Net GAN
U-Net Generative Adversarial Network
U-Net GAN
Introduced by Edgar Schonfeld et al. in A U-Net Based Discriminator for Generative Adversarial Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
In contrast to typical GANs, a U-Net GAN uses a segmentation network as the discriminator. This segmentation network predicts two classes: real and fake. In doing so, the discriminator gives the generator region-specific feedback. This discriminator design also enables a CutMix-based consistency regularization on the two-dimensional output of the U-Net GAN discriminator, which further improves image synthesis quality.
Papers archive 2025-07-28
2 shown of 2, 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.
-
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation 25 Jul 2022 · 1 repository · arXiv:2207.12238
-
A U-Net Based Discriminator for Generative Adversarial Networks 1 Jun 2020 · 0 repositories
Tasks archive 2025-07-28
6 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 |
|---|---|
| Data Augmentation | 1 |
| Image Segmentation | 1 |
| Medical Image Segmentation | 1 |
| Retinal Vessel Segmentation | 1 |
| Weakly supervised segmentation | 1 |
| Weakly-supervised Learning | 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