MSG-CapsGAN

Multi-Scale Gradient Capsule GAN for Super-Resolution

Please cite the associated papers if you are using MSG-CapsGAN.

1. MSG-CapsGAN: Multi-Scale Gradient Capsule GAN for Face Super Resolution

@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}
}

2. Capsule GAN for robust face super resolution

@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).