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You can basically use any existing image translation GANs, for example pix2pix: https://github.com/phillipi/pix2pix
If you want to make it WGAN-based, you just need to substitute its loss function with a WGAN loss.
Hi, please share a WGAN code to convert synthetic images to real (with paired images) if you know. Any other vanila GAN would also be helpful.
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