SNGAN

• 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

Requirements

• tensorflow 1.3.0

• python2.7 or python3.6

• numpy 1.13.*

• scipy 0.17.0~ 0.19.1

Usages

(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.

Results

sample image	sample image
64*64 resolution	64*64 rosolution

Contacts

Email:[email protected]