This is the Windows app named StarGAN whose latest release can be downloaded as stargansourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
StarGAN
DESCRIPTION:
StarGAN is an implementation of the Star Generative Adversarial Network, a model designed for multi-domain image-to-image translation using a single unified GAN architecture. Unlike earlier GAN approaches that required separate models for each domain pair, StarGAN enables flexible attribute transfer across multiple domains within one network, significantly improving efficiency and scalability. The repository includes full training and inference pipelines for tasks such as facial attribute manipulation and style transfer. It demonstrates adversarial training strategies, domain classification losses, and generator-discriminator coordination required for stable multi-domain translation. Researchers and practitioners often use the project as a reference when studying conditional GANs and advanced image synthesis techniques. Overall, the repository provides a clean and practical baseline for experimenting with multi-domain generative modeling in PyTorch.
Features
- Multi-domain image-to-image translation
- Unified StarGAN architecture
- Training and inference pipelines
- Facial attribute manipulation examples
- Adversarial and domain classification losses
- PyTorch-based implementation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/stargan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.