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.