This is a pytorch implementation of the paper Discriminative Regularization for Generative Models by Alex Lamb, Vincent Dumoulin and Aaron Courville.
- Discriminative Regularization for Generative Models
- Auto-Encoding Variational Bayes
- Unsupervised representation learning with deep convolutional generative adversarial networks
- Very deep convolutional networks for large-scale image recognition
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution
- Deconvolution and Checkerboard Artifacts
| Original | VAE | DisRegGen |
|---|---|---|
 |
 |
 |
 |
 |
 |
For further reference you can check the author's implementation.
This project is licensed under the MIT License - see the LICENSE.md file for details.