Methods › Computer Vision › Generative Adversarial Networks › SNGAN
Spectrally Normalised GAN
SNGAN
Introduced by Takeru Miyato et al. in Spectral Normalization for Generative Adversarial Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
SNGAN, or Spectrally Normalised GAN, is a type of generative adversarial network that uses spectral normalization, a type of weight normalization, to stabilise the training of the discriminator.
Papers archive 2025-07-28
12 shown of 12, 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.
-
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration 1 Jan 2023 · 1 repository
-
Unrealistic Feature Suppression for Generative Adversarial Networks 23 Jul 2021 · 0 repositories · arXiv:2107.11047
-
Exploring The Effect of High-frequency Components in GANs Training 20 Mar 2021 · 2 repositories · arXiv:2103.11093
-
Data InStance Prior (DISP) in Generative Adversarial Networks 8 Dec 2020 · 0 repositories · arXiv:2012.04256
-
Adaptive Weighted Discriminator for Training Generative Adversarial Networks 5 Dec 2020 · 3 repositories · arXiv:2012.03149
-
Improving the Speed and Quality of GAN by Adversarial Training 7 Aug 2020 · 1 repository · arXiv:2008.03364
-
PriorGAN: Real Data Prior for Generative Adversarial Nets 30 Jun 2020 · 1 repository · arXiv:2006.16990
-
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models 19 May 2020 · 0 repositories · arXiv:2005.09294
-
Mimicry: Towards the Reproducibility of GAN Research 5 May 2020 · 3 repositories · arXiv:2005.02494
-
LOGAN: Latent Optimisation for Generative Adversarial Networks 2 Dec 2019 · 1 repository · arXiv:1912.00953Syntology ran 2 of 8 samples · 6 unverified
-
Deep Compressed Sensing 16 May 2019 · 1 repository · arXiv:1905.06723
-
Spectral Normalization for Generative Adversarial Networks 16 Feb 2018 · 38 repositories · arXiv:1802.05957Syntology ran 16 of 31 samples · 15 unverified · 14 pointer-only (licence)
Tasks archive 2025-07-28
13 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 Generation | 6 |
| Conditional Image Generation | 2 |
| Unconditional Image Generation | 2 |
| Data Augmentation | 1 |
| Diversity | 1 |
| Generative Adversarial Network | 1 |
| Meta-Learning | 1 |
| Object | 1 |
| Object Detection | 1 |
| Transfer Learning | 1 |
| Vocal Bursts Intensity Prediction | 1 |
| compressed sensing | 1 |
| object-detection | 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