L2_01_Creative_Image_Generation_with_GANs

L2 - 01: Creative Image Generation with GANs

Overview

Creative Image Generation using Generative Adversarial Networks (GANs).

Implementation Steps:

• Environment Setup
• Clone StyleGAN2-ADA Repository
• Install Dependencies
• Load Pre-trained StyleGAN2-ADA Model
• Generate Images
• Visualize Generated Images

Usage

Try it out on Colab:

Notebook

Contributing

If you want to contribute to this project, you are welcome to do so. You can either add new projects, improve existing ones, or fix bugs and errors.

Please follow these steps to contribute:

• Fork this repository and clone it to your local machine.
• Create a new branch with a descriptive name for your contribution.
• Add your code and files to the branch and commit your changes.
• Push your branch to your forked repository and create a pull request to the main repository.
• Wait for your pull request to be reviewed and merged.

References

• Generative Adversarial Network - GAN
• What are GANs (Generative Adversarial Networks)? - IBM
• Standford cs231n 2017 - Lecture 13 | Generative Models
  • Slides