This repository is a curated list of Generative Adversarial Network (GAN) applications and demonstrations, focusing on practical use cases rather than foundational GAN papers. It serves researchers and developers looking for implementations and examples of GANs applied to diverse tasks like image generation, editing, and domain transfer.

How It Works

The repository categorizes GAN applications into distinct areas such as font generation, anime character creation, text-to-image synthesis, 3D object generation, image editing, and more. It provides links to landmark papers, GitHub repositories, and sometimes demos or blog posts for each application, enabling users to explore specific implementations and their underlying research.

Highlighted Details

• Extensive categorization of GAN applications, including niche areas like font generation and adversarial examples.
• Links to both foundational papers and practical GitHub implementations for each application.
• Includes a section for interesting applications that do not directly use GANs but are relevant to the field.
• Provides resources for GAN tutorials and collections of GAN implementations.

Maintenance & Community

The repository is maintained by Minchul Shin (@nashory) and welcomes recommendations and pull requests for additions.

Licensing & Compatibility

The repository itself is a list of links and does not contain code, thus it does not impose licensing restrictions on users. However, users must adhere to the licenses of the linked papers and repositories.

Limitations & Caveats

This is a curated list and not a software package; it does not provide runnable code directly. Users must follow the links to find and set up the individual applications. The focus is on applications, so core GAN research papers are generally excluded.