pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
PyTorch implementation of Spectral Normalization for Generative Adversarial Networks
git clone https://github.com/godisboy/SN-GAN.git
cd SN-GAN
python train.py --cuda(optional)
python train-res.py --cuda --dataPath /Path/to/yourdataset/
Note:
The ResBlock of Res-Generator is different from what implemented in original paper.
This repo use UpsamplingBilinear
instead of Uppooling
for Upsampling operation.
Based on the implementation DCGAN and official implementation with Chainer sngan_projection