@article{lim2017geometric,
title={Geometric gan},
author={Lim, Jae Hyun and Ye, Jong Chul},
journal={arXiv preprint arXiv:1705.02894},
year={2017}
}
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 |