Generative Models
Spectrally Normalised GAN
Introduced by Miyato et al. in Spectral Normalization for Generative Adversarial NetworksSNGAN, 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.
Source: Spectral Normalization for Generative Adversarial Networks
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Generation | 6 | 50.00% |
| Conditional Image Generation | 2 | 16.67% |
| Diversity | 1 | 8.33% |
| Object | 1 | 8.33% |
| Object Detection | 1 | 8.33% |
| Meta-Learning | 1 | 8.33% |
GAN Hinge Loss
Spectral Normalization
