A brief Introduction to Generative Adversarial Network
Here's the notebook link in Google Colab if you don't want to run it locally
- Roadmap of Gan
- Synthgan
- GAN + Deep Fakes
- Goodfellow, Ian J. - Generative Adversarial Nets, 2014
- Mirza, M. - Conditional Generative Adversarial Nets, 2014
- Zhu, JY. et al - Unpaired Image-to-Image Translationusing Cycle-Consistent Adversarial Networks, 2018
- Liu, Ming Y. et al - Coupled Generative Adversarial Networks, 2016
- Tero, Karas - Progressive Growing of GANs for Improved Quality Stability and Variation, 2018
- Arjovsky, Martin et al - Wassertein GAN, 2017
- Zhang, Han - Self-Attention Generative Adversarial Network. 2018
- Brock, Andrew - Large Scale GAN Training for High Fidelity Natural Image Synthesis, 2019
- Karras, Tero et al - A Style-Based Generator Architecture for Generative Adversarial Networks, 2019
- Dumoulin, VIncent et al - A guide to convolution arithmetic for deeplearning, 2018