Multi-Scale Gradient Capsule GAN for Super-Resolution
Please cite the associated papers if you are using MSG-CapsGAN.
@inproceedings{majdabadi2020msg,
title={MSG-CapsGAN: Multi-Scale Gradient Capsule GAN for Face Super Resolution},
author={Majdabadi, Mahdiyar Molahasani and Ko, Seok-Bum},
booktitle={2020 International Conference on Electronics, Information, and Communication (ICEIC)},
pages={1--3},
year={2020},
organization={IEEE}
}
@article{majdabadi2020capsule,
title={Capsule GAN for robust face super resolution},
author={Majdabadi, Mahdiyar Molahasani and Ko, Seok-Bum},
journal={Multimedia Tools and Applications},
pages={1--14},
year={2020},
publisher={Springer}
}
The progressive MSG-CapsGAN has been added as well.
Some useful Keras coustom layers can be found in Custom_layers.py.
-The SRGAN implementation from eriklindernoren is used as the backbone of the GAN model (repository).
-The implemenation of CapsGAN from Guseyn Gadirov were used for Capsule network (repository).