# GAN study group and project implementation

**Timeline**

1. 4 weeks (8 study group sessions) for reading and discussion
2. Tentatively 4 weeks for implementing a project( depends on the number of people participating and level of difficulty of project)
3. 10 days for a blog on GAN by DSG

**RESOURCES**

Coursera

[https://in.coursera.org/specializations/generative-adversarial-networks-gans#courses](https://in.coursera.org/specializations/generative-adversarial-networks-gans#courses)

Medium Blog series

<aside>
[medium blog series]: (https://jonathan-hui.medium.com/gan-gan-series-2d279f906e7b)

</aside>

TDS

[TOWARDS DATA SCIENCE LINK](https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29)

Research paper compilations

[GAN PAPER COMPILATIONS](https://analyticsindiamag.com/10-free-resources-to-learn-gan-in-2020/)

[Others]
https://www.v7labs.com/blog/generative-adversarial-networks-guide

[deepmind ucl ]
https://youtu.be/wFsI2WqUfdA

GAN original paper

[https://arxiv.org/pdf/1406.2661v1.pdf]

**Possible projects**

Beginner

- ****Create your own Anime Characters using GANs****
- ****Generate Fake Human faces using DCGANs for Data Augmentation****
- ****Image Style Transfer using CycleGANs****
- ****Semi-Supervised GAN (SGAN) using MNIST dataset****
- ****Medical Image Synthesis using GANs for Pulmonary Chest X-rays****

Intermediate

- ****Build Face Aging Application using Face Synthesis****
- ****Colourizing Black and White Images using GANs****
- ****Satellite Image to Google Map Image-to-Image Translation using DualGANs****
- ****Removing Unwanted Noises from Real Scene Images using GANs****

Advanced

- ****Generate New Human Poses using Deformable GANs****
- ****Create a Text-to-Image synthesizer using ST-GANs****
- ****Abstractive Text Summarizer using GANs****
- ****Anomaly Detection using GANs in MNIST Datasets****
- ****Generate cartoon characters:****
- ****Photos to Emojis****
- ****3D Object generation using 2D images****
- ****Photo Blending****
- ****Super Resolution****

**GAN LIST:**

1. Auxiliary Classifier GAN
2. Adversarial Autoencoder
3. BEGAN
4. BicycleGAN
5. Boundary-Seeking GAN
6. Cluster GAN
7. Conditional GAN
8. CycleGAN
9. Dual GAN
10. Enhanced Super-Resolution GAN
11. GAN
12. Relativistic GAN
13. Semi-Supervised GAN
14. Softmax GAN
15. Wasserstein GAN
16. Wasserstein GAN GP
17. Wasserstein GAN DIV

**DATASET LINKS FOR PROJECT**

[https://www.projectpro.io/article/generative-adversarial-networks-gan-based-projects-to-work-on/530](https://www.projectpro.io/article/generative-adversarial-networks-gan-based-projects-to-work-on/530)