Deep Convolutional Generative Adversarial Networks with Spectral Normalization using CelebA dataset.
- System with Linux or OSX
- NVIDIA GPU is strongly recommended for speed however CPU is supported but training will be slow.
sh setup.shpython main.py --num_epochs 5(Use-hfor help)
You may run the program using DCGAN-with-SN.ipynb as well.
| Number of Epochs | Fake Images | FID Score |
|---|---|---|
| 20 |  |
116.44 |
| 100 |  |
34.74 |
- Pytorch DCGAN Tutorial: https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html
- https://github.com/christiancosgrove/pytorch-spectral-normalization-gan
- https://github.com/martinarjovsky/WassersteinGAN
- Vanilla GAN by Goodfellow et al.
- Deep Convolutional GAN by Radford et al.
- Spectral Normalization GAN by Miyato et al.
- Fréchet Inception Distance (FID) score Heusel et al.