/Progressive_GAN-ProGAN-_implementation

ProGAN implementation

Primary LanguagePython

Progressive_GAN-ProGAN-_implementation

ProGAN implementation

Dataset: celeb-HQ

  • Dowload the dataset and extract it to a folder and change the training dataset path in config.py

Edit the configurations according to your specification in config.py
Run the train.py file to start the training

A log folder will be created to trace the training of ProGAN. You can check using tensorboard

tensorboard --logdir logs

ProGAN paper: https://arxiv.org/abs/1710.10196

@misc{karras2018progressive,
title={Progressive Growing of GANs for Improved Quality, Stability, and Variation},
author={Tero Karras and Timo Aila and Samuli Laine and Jaakko Lehtinen},
year={2018},
eprint={1710.10196},
archivePrefix={arXiv},
primaryClass={cs.NE}
}