fxia22 / Pixeldtgan
Licence: mit
A torch implementation of "Pixel-Level Domain Transfer"
Stars: ✭ 248
Programming Languages
lua
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Pixel Level Domain Transfer
A torch implementation of "Pixel-Level Domain Transfer". based on dcgan.torch.
Dataset
The dataset used is "LookBook", from Donggeun Yoo.
Training
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
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.
Monitor the performance
- 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.
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