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GANs World Resources

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Table of Contents

The purpose of this project is to introduce a shortcut to developers and researcher for finding useful resources about Generative Adversarial Networks.

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There are different motivations for this open source project.

The organization of the resources is such that the user can easily find the things he/she is looking for. We divided the resources to a large number of categories that in the beginning one may have a headache!!! However, if someone knows what is being located, it is very easy to find the most related resources. Even if someone doesn't know what to look for, in the beginning, the list of resources have been provided.

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This chapter is associated with the papers published associated with generative adversarial Networks.

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Image by: Rouzbeh Asghari Shirvani

Title Text Software Citation
Generative Adversarial Nets Paper Code Rate 🌟 🌟 🌟 🌟 🌟
ENERGY-BASED GENERATIVE ADVERSARIAL NETWORK Paper Code Rate 🌟 🌟 🌟 🌟
Which Training Methods for GANs do Actually Converge Paper Code Rate 🌟 🌟
Title Text Software Citation
Conditional generative adversarial nets Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Photo-realistic single image super-resolution using a GAN Paper Code Rate 🌟 🌟 🌟 🌟
Image-to-Image Translation with Conditional Adversarial Networks Paper Code Rate 🌟 🌟 🌟 🌟
Generative Visual Manipulation on the Natural Image Manifold Paper Code Rate 🌟 🌟
Title Text Software Citation
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Title Text Software Citation
Deep Convolutional Generative Adversarial Networks Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Generative Adversarial Text to Image Synthesis Paper Code Rate 🌟 🌟 🌟
Title Text Software Citation
Adversarial Autoencoders Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Title Text Software Citation
Generating images with recurrent adversarial networks Paper Code Rate 🌟 🌟 🌟 🌟
Title Text Software Citation
Infogan: Information maximizing GANs Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Title Text Software Citation
Adversarial feature learning Paper Code Rate 🌟 🌟 🌟 🌟 🌟
Title Text Software
Energy-based generative adversarial network Paper Code
Which Training Methods for GANs do actually Converge Paper Code
Improved Techniques for Training GANs Paper Code
Towards Principled Methods for Training Generative Adversarial Networks Paper Β 
Least Squares Generative Adversarial Networks Paper Code
Wasserstein GAN Paper Code
Improved Training of Wasserstein GANs Paper Code
Generalization and Equilibrium in Generative Adversarial Nets Paper Β 
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium Paper Code
Spectral Normalization for Generative Adversarial Networks Paper Code
Title Text Software
Generative Adversarial Text to Image Synthesis Paper Code
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Paper Code
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Paper Code
Progressive Growing of GANs for Improved Quality, Stability, and Variation Paper Code
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks Paper Code
Self-Attention Generative Adversarial Networks Paper Code
Large Scale GAN Training for High Fidelity Natural Image Synthesis Paper Β 
Title Text Software
Image-to-image translation using conditional adversarial nets Paper Code
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Paper Code
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Paper Code
CoGAN: Coupled Generative Adversarial Networks Paper Code
Unsupervised Image-to-Image Translation Networks Paper Β 
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Paper Β 
UNIT: UNsupervised Image-to-image Translation Networks Paper Code
Multimodal Unsupervised Image-to-Image Translation Paper Code
Title Text Software
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network Paper Code
High-Quality Face Image Super-Resolution Using Conditional Generative Adversarial Networks Paper Β 
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network Paper Code
Title Text Software
TAC-GAN – Text Conditioned Auxiliary Classifier Generative Adversarial Network Paper Code
Generative Adversarial Text to Image Synthesis Paper Code
Learning What and Where to Draw Paper Code
Title Text Software
Invertible Conditional GANs for image editing Paper Code
Image De-raining Using a Conditional Generative Adversarial Network Paper Code
Title Text Software
Generating multi-label discrete patient records using generative adversarial networks Paper Code
Adversarial Generation of Natural Language Paper Β 
Language Generation with Recurrent Generative Adversarial Networks without Pre-training Paper Code
Adversarial ranking for language generation Paper Code
Adversarial Training Methods for Semi-Supervised Text Classification Paper Code

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  • Deep Learning: GANs and Variational Autoencoders by Udemy: [Link]
  • Differentiable Inference and Generative Models by the University of Toronto: [Link]
  • Learning Generative Adversarial Networks by Udemy: [Link]

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  • GANs in Action - Deep learning with Generative Adversarial Networks by manning Publications: [Link]

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  • GANs from Scratch 1: A deep introduction. With code in PyTorch and TensorFlow: [Link]
  • Keep Calm and train a GAN. Pitfalls and Tips on training Generative Adversarial Networks: [Link]
  • CVPR 2018 Tutorial on GANs: [Link]
  • Introductory guide to Generative Adversarial Networks (GANs) and their promise!: [Link]
  • Generative Adversarial Networks for beginners: [Link]
  • Understanding and building Generative Adversarial Networks(GANs): [Link]

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