Awesome

Progressive_GAN-ProGAN-_implementation

ProGAN implementation</br>

Dataset: celeb-HQ</br>

• Dowload the dataset and extract it to a folder and change the training dataset path in <i>config.py</i></br>

Edit the configurations according to your specification in <i>config.py</i></br> 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</br>

tensorboard --logdir logs

ProGAN paper: https://arxiv.org/abs/1710.10196 </br>

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