- An implement of spectral normalization GAN for tensorflow version, spectral normalization is used in this repo to give some constrants to the weights of discriminator
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tensorflow 1.3.0
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python2.7 or python3.6
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numpy 1.13.*
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scipy 0.17.0~ 0.19.1
(1)download this repo to your own directory
$ git clone https://github.com/nnUyi/SNGAN.git
$ cd SNGAN
(2)download celebA dataset and store it in the data directory(directory named data)
- celebA datasets is cropping into 64*64 size with *.png or *jpg format, this repo read image format data as input.
(3)training
$ python main_sngan.py --is_training=True
(4)testing
- Anyway, in this repo, testing processing is taken during training, It samples the training results to the sample(named sample) directory, and stores session in the checkpoint(named checkpoint) directory.
| sample image | sample image |
|---|---|
 |
 |
| 64*64 resolution | 64*64 rosolution |