All-About-the-GANs

GAN(Generative Adversarial Networks)s are the models that used in unsupervised machine learning, implemented by a system of two neural networks competing against each other in a zero-sum game framework. It was introduced by Ian Goodfellow et al. in 2014.

The purpose of this repository is providing the curated list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.

(Word Cloud of Title)

(Word Cloud of Category)

(Word cloud of Abbr. name)

It provides a list that merged information from various GAN lists and repositories as below:

🔗 Reference repositories

• [GAN zoo] - A list of all named GANs! by hindupuravinash
• Delving deep into Generative Adversarial Networks (GANs) [Delving] by GKalliatakis
• Awesome GAN for Medical Imaging [Medical] by xinario
• [Adversarial Nets Papers] The classic about Generative Adversarial Networks
• [Really Awesome GAN] by nightrome
• [GANs Paper Collection] by shawnyuen
• [GAN awesome applications] by nashory
• [GAN timeline] by dongb5
• [GAN comparison without cherry-picking] by khanrc
• Collection of generative models in [Keras], [Pytorch version], [Tensorflow version], [Chainer version]
• [Tensor layer]
• [Tensor pack]

You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.

Contributions are welcome. Please contact me at [email protected] or send a pull request. You can have to add links through pull requests or create an issue which something I missed or need to start a discussion.

You can access the whole list by two way

1. simple web style - https://hollobit.github.io/All-About-the-GAN/

2. Readme style

3. All GANs Search