lsgan

A replication of Least Square GAN

Requirements

Theano (latest)

neuralnet

cloudpickle

Usage

python lsgan.py path-to-a-folder-of-images (--in_size 112) (--out_size 112) (--bs 64) (--n_iters 10000000) (--gpu 0)

Results

The following examples are produced @iter 117k and 1M when training with the LSUN church outdoor dataset.

Credits

This implementation is based on this original repo. If you use this implementation, you must cite the following paper

@inproceedings{mao2017least,
  title={Least squares generative adversarial networks},
  author={Mao, Xudong and Li, Qing and Xie, Haoran and Lau, Raymond YK and Wang, Zhen and Smolley, Stephen Paul},
  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
  pages={2813--2821},
  year={2017},
  organization={IEEE}
}