All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
# 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.

<p align="center"><img width="80%" src="wordcloud_title.png" /><br>(Word Cloud of Title)</p>

<p align="center"><img width="80%" src="wordcloud_category.png" /><br>(Word Cloud of Category)</p>

<p align="center"><img width="80%" src="wordcloud_abbr.png" width="100%" ALT="Abbr. Name Word Cloud of GAN papers"><br>(Word cloud of Abbr. name)</p>

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

### :link: Reference repositories
* [[GAN zoo]](https://github.com/hindupuravinash/the-gan-zoo) - A list of all named GANs! by hindupuravinash
* Delving deep into Generative Adversarial Networks (GANs) [[Delving]](https://github.com/GKalliatakis/Delving-deep-into-GANs) by GKalliatakis
* Awesome GAN for Medical Imaging  [[Medical]](https://github.com/xinario/awesome-gan-for-medical-imaging/) by xinario
* [[Adversarial Nets Papers]](https://github.com/zhangqianhui/AdversarialNetsPapers/) The classic about Generative Adversarial Networks
* [[Really Awesome GAN]](https://github.com/nightrome/really-awesome-gan) by nightrome
* [[GANs Paper Collection]](https://github.com/shawnyuen/GANsPaperCollection) by shawnyuen
* [[GAN awesome applications]](https://github.com/nashory/gans-awesome-applications) by nashory
* [[GAN timeline]](https://github.com/dongb5/GAN-Timeline) by dongb5
* [[GAN comparison without cherry-picking]](https://github.com/khanrc/tf.gans-comparison) by khanrc
* Collection of generative models in [[Keras]](https://github.com/eriklindernoren/Keras-GAN), [[Pytorch version]](https://github.com/znxlwm/pytorch-generative-model-collections), [[Tensorflow version]](https://github.com/hwalsuklee/tensorflow-generative-model-collections), [[Chainer version]](https://github.com/pfnet-research/chainer-gan-lib)
* [[Tensor layer]](https://github.com/tensorlayer/tensorlayer)
* [[Tensor pack]](https://github.com/ppwwyyxx/tensorpack)
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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](https://github.com/hollobit/All-About-the-GAN/blob/master/AllGAN-r2.tsv).

Contributions are welcome. Please contact me at hollobit@etri.re.kr 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.

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## You can access the whole list by two way
### 1. [simple web style - https://hollobit.github.io/All-About-the-GAN/](https://hollobit.github.io/All-About-the-GAN/)
### 2. [Readme style](https://github.com/hollobit/All-About-the-GAN/blob/master/README-one.md)
### 3. [All GANs Search](https://hollobit.github.io/All-About-the-GAN/search.html)
