Riferimenti bibliografici
- [Elg20], Ch. 8, 9.3.
Link utili
- Deep Generative Models
- Generative Adversarial Networks
- Understanding Generative Adversarial Networks
- Improved Techniques for training GANs
- How (not) to train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Do GAN actually Learn the Distribution?
- Progressive Growing of GANs for Improved Quality, Stability and Variation
- Are GANs Created Equal? A Large-Scale Study
- Wasserstein GANs
- Wasserstein GANs: Blog posts 1, 2, 3, 4
- Improved training fo Wasserstein GANs (with some tricks on how to implement it in Pytorch)
- A collection of Generative Models in Pytorch
- How to train a GAN? (video)
- MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
- Conditional Generative Adversarial Networks
- Image to image translation with Conditional Adversarial Networks
- A gentle introduction to CycleGAN for Image Translation
- Unpaired Image-to-image Translation using Cycle-Consistent Adversarial Networks
- Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
- Understanding and Implementing CycleGAN
- Conditional Image Synthesis with Auxiliary Classifier GANs
- An Introduction to Image Synthesis with Generative Adversarial Nets
- Large-Scale GAN Training for High-Fidelity Natural Image Synthesis
- GANs for Medical Image Analysis
- The GAN Zoo
- GAN and Deepfakes resources
- How deep learning fakes videos and how to detect it
- Deepfakes: The ugly, and the good
- Deepfake Videos: GAN synthesizes a Video from a Single Photo
- Neural Style Transfer Tutorial
- A Neural algorithm of Artistic Style
- A Deep Journey into Superresolution