README.md

metadata

license: mit
language:
  - en
pipeline_tag: unconditional-image-generation

This is an officila repository to generate some sample results from the FastGAN model presented in the paper: SinGAN-Seg: Synthetic training data generation for medical image segmentation here

A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch

The official pytorch implementation of the FAT-GAN paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis", the paper can be found here.

python generate_4ch_from_huggingface.py