Here is my jupyter notebook.
Let you to play with pretrained GAN (SAGAN + SNGAN + D2GAN)
- old fastai 0.7 (put in the same file)
- python 3.6
- pytorch 0.4
- test on windows 10, cuda 9.0
change to your dir of dataset: put your image in file train
It is ok without any dataset and just play the pretrained GAN
Train on Guassian but generate on uniform will make the image looks better,
but the uniform images look more similar.
Continues change on row and colume
show different results in mult std
small std make image looks more similar,
large std make image looks more difference.