A torch implementation of "Pixel-Level Domain Transfer". based on dcgan.torch.

The dataset used is "LookBook", from Donggeun Yoo.

To train the model, put the LOOKBOOK dataset under repository, resize images to 64*64. Prepare the dataset using prepare_data.ipynb. Then run

th main.lua

You can tune the parameters, such as number of filters, optimizer, etc.

Example results on LOOKBOOK dataset(top), left is input, right is generated clothes. Results on a similar dataset (bottom). More results will be added soon.

• Install display package with: luarocks install https://raw.githubusercontent.com/szym/display/master/display-scm-0.rockspec
• Start the server with: th -ldisplay.start
• Open this URL in your browser: http://localhost:8000

Below shows the results after 7 epochs, each 3*1 block is generated cloth, true cloth, input image. Errors of G, D, and A network will be plotted.