SANET

This is unofficial PyTorch implementation of "Arbitrary Style Transfer with Style-Attentional Networks".

Official paper: https://arxiv.org/abs/1812.02342v5

To run, download the weights and place them in the folder with Eval.py. Links to weights on Yandex.Disk:

decoder: https://yadi.sk/d/xsZ7j6FhK1dmfQ
transformer: https://yadi.sk/d/GhQe3g_iRzLKMQ
vgg_normalised: https://yadi.sk/d/7IrysY8q8dtneQ

Or, you can download the latest release. It contains all weights, codes and examples.

How to evaluate

To test the code, make changes to the following lines in the file Eval.py. here you need to specify the path to the image style and content. After that, save the changes to the file and run it.

parser.add_argument('--content', type=str, default = 'input/chicago.jpg',
                    help='File path to the content image')
parser.add_argument('--style', type=str, default = 'style/style11.jpg',
                    help='File path to the style image, or multiple style \
                    images separated by commas if you want to do style \
                    interpolation or spatial control')