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Geometric GAN

Introduction

GGAN (arXiv'2017) 
@article{lim2017geometric,
  title={Geometric gan},
  author={Lim, Jae Hyun and Ye, Jong Chul},
  journal={arXiv preprint arXiv:1705.02894},
  year={2017},
  url={https://arxiv.org/abs/1705.02894},
}

Results and models

GGAN 64x64, CelebA-Cropped
Models Dataset SWD MS-SSIM FID Config Download
GGAN 64x64 CelebA-Cropped 11.18, 12.21, 39.16/20.85 0.3318 20.1797 config model | log
GGAN 128x128 CelebA-Cropped 9.81, 11.29, 19.22, 47.79/22.03 0.3149 18.7647 config model | log
GGAN 64x64 LSUN-Bedroom 9.1, 6.2, 12.27/9.19 0.0649 85.6629 config model | log

Note: In the original implementation of GGAN, they set G_iters to 10. However our framework does not support G_iters currently, so we dropped the settings in the original implementation and conducted several experiments with our own settings. We have shown above the experiment results with the lowest fid score.
Original settings and our settings:

Models Dataset Architecture optimizer lr_G lr_D G_iters D_iters
GGAN(origin) 64x64 CelebA-Cropped dcgan-archi RMSprop 0.0002 0.0002 10 1
GGAN(ours) 64x64 CelebA-Cropped dcgan-archi Adam 0.001 0.001 1 1
GGAN(origin) 64x64 LSUN-Bedroom dcgan-archi RMSprop 0.0002 0.0002 10 1
GGAN(ours) 64x64 LSUN-Bedroom lsgan-archi Adam 0.0001 0.0001 1 1