VITA-Group/TransGAN

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1695 stars · 203 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of TransGAN, a NeurIPS 2021 paper that builds a GAN whose generator and discriminator are both pure transformers. It includes training and evaluation scripts for CIFAR and other image datasets with distributed training, FID/IS evaluation, and data augmentation.

Use cases

• train a GAN using pure transformer architectures
• generate images with a transformer-based generator
• reproduce TransGAN results from the NeurIPS 2021 paper
• evaluate GAN sample quality with FID and IS metrics
• experiment with transformer discriminators for image synthesis
• study scaling behavior of transformer-based GANs

When to choose

• you want to train or extend a transformer-only GAN in PyTorch
• you need a reference implementation of the TransGAN paper
• you are researching transformer architectures for image generation

When to avoid

• you need a production-ready image generation service
• you want a well-maintained library with active support
• you need a non-research license for commercial use

Facets

library · maturity maintenance

machine-learning deep-learning image-processing machine-learning deep-learning computer-vision image-processing python gan transformer generative-models pytorch research-code image-generation neurips-2021 gpu linux

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markdown · JSON · MCP: product_card(name="VITA-Group/TransGAN")