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Performs style transfer by using a neural network to discriminate between the style image features and the generated image features. Results yield higher quality transfers than contemporary methods.

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Hello, Is there a way to set alpha - style-content ration in the tensorflow implementation of the algorithm? Example from pytorch version: '--alpha', type=float, default=0.2, style-content balance ratio. larger values...

I succeeded to run it after changing line 63 to this ```gen_hist.append(F.to_pil_image(gen_img.cpu().squeeze(0)))```

I have a question, is it possible to use wgan-gp to calculate the wasserstein distance between the style distributions of a batch? Thanks!

I implemented the code in colaboratory and i want to know if this new method is slower and how much slower to the previous 2nd order method and if u...

Hi When i run i get thid error "File "main.py", line 81, in run(args) File "main.py", line 62, in run losses_dict, gen_hist = style.transfer(args, gen_img, style_img, model) File "/home/hades/discriminator/style/__init__.py", line...