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https://github.com/margaretmz/gans-in-art-and-design

Colab notebooks for GAN tutorials.
https://github.com/margaretmz/gans-in-art-and-design

art computer-vision deep-learning design gans generative generative-art keras tensorflow tensorflow2

Last synced: about 6 hours ago
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Colab notebooks for GAN tutorials.

Host: GitHub
URL: https://github.com/margaretmz/gans-in-art-and-design
Owner: margaretmz
License: other
Created: 2021-09-29T14:40:01.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2022-02-13T14:03:30.000Z (over 2 years ago)
Last Synced: 2023-02-27T18:45:40.588Z (over 1 year ago)
Topics: art, computer-vision, deep-learning, design, gans, generative, generative-art, keras, tensorflow, tensorflow2
Language: Jupyter Notebook
Homepage:
Size: 37.1 MB
Stars: 16
Watchers: 6
Forks: 2
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # GANs in Art and Design

This repo contains the Colab notebooks for the GAN series on [PyImageSearch](https://www.pyimagesearch.com/) which is many people's go-to place for learning about computer vision, deep learning and OpenCV. These posts are also part of the [PyImageSearch University](https://www.pyimagesearch.com/pyimagesearch-university/) courses where you can access both the tutorials and videos. The GAN implementations are written in **TensorFLow 2** and **Keras**.

|Blog Post Title                   | Tweet |Tutorial  |Open in Colab |

|-----------------------------------|-----|--------- |----- |

|[1. Intro GANs](#1-intro-to-gans) | [Link](https://twitter.com/PyImageSearch/status/1437417053829402624?s=20) |[Link](https://www.pyimagesearch.com/2021/09/13/intro-to-generative-adversarial-networks-gans/)  | N/A  |

|[2. Get Started: DCGAN for Fashion-MNIST](#2-dcgan-fashion-mnist)|[Link](https://twitter.com/PyImageSearch/status/1458812104262262792?s=20) | [Link](https://www.pyimagesearch.com/2021/11/11/get-started-dcgan-for-fashion-mnist/)  | [Link](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/2_dcgan_fashion_mnist.ipynb)|

|[3. GAN Training Challenges: DCGAN for Color Images](#3-dcgan-zalando-fashion) | [Link](https://twitter.com/PyImageSearch/status/1470409451433771014?s=20)|[Link](https://www.pyimagesearch.com/2021/12/13/gan-training-challenges-dcgan-for-color-images/) | [Link](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/3_dcgan_color_images.ipynb)   |

|[4. Anime Faces with WGAN and WGAN-GP](#4-wgan-and-wgan-gp-anime-faces) | [Link](https://twitter.com/PyImageSearch/status/1490703165750190080?s=20&t=dZQFMqeKAlKmwEb2J2pd0g)|[Link](https://www.pyimagesearch.com/2022/02/07/anime-faces-with-wgan-and-wgan-gp/) | [WGAN](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/4_wgan_anime_faces.ipynb) & [WGAN-GP](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/4_wgan_gp_anime_faces.ipynb)|

## 1. Intro to GANs

Read my [Intro to GANs tutorial](https://www.pyimagesearch.com/2021/09/13/intro-to-generative-adversarial-networks-gans/) to learn how GANs work and a brief intro to the GAN variants and applications.



    



## 2. DCGAN Fashion-MNIST

Read [Get Started: DCGAN for Fashion-MNIST](https://www.pyimagesearch.com/2021/11/11/get-started-dcgan-for-fashion-mnist/) to learn how to implement a DCGAN to generate gray-scale (`28x28x1`) Fashion-MNIST like images.

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/2_dcgan_fashion_mnist.ipynb)



    



## 3. DCGAN Zalando Fashion

Read this [GAN Training Challenges: DCGAN for Color Images ](https://www.pyimagesearch.com/2021/12/13/gan-training-challenges-dcgan-for-color-images/) to learn how to use DCGAN to generate color (`64x64x3`) fashion images. 

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/2_dcgan_fashion_mnist.ipynb)



    



## 4. WGAN and WGAN-GP Anime Faces

In [Anime Faces with WGAN and WGAN-GP](https://www.pyimagesearch.com/2022/02/07/anime-faces-with-wgan-and-wgan-gp/), I discuss how to move from DCGAN to WGAN, and then to WGAN-GP, for generating anime faces. 

* WGAN notebook [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/4_wgan_anime_faces.ipynb)

* WGAN-GP notebook [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/margaretmz/GANs-in-Art-and-Design/blob/main/4_wgan_gp_anime_faces.ipynb)



    



### Copyright

Please note that any content, artwork or code in this repo is licensed under a [

Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/), which means you are free to share and adapt it, under the condition that you give appropriate credit to the author and you may not use it for commercial purposes.