We show that cross domain image-to-image translation can be subject to bias due to matching the data distribution of the target domain. We specifically show results when using conditional GAN and CycleGAN.
We show that cross domain image-to-image translation can be subject to bias due to matching the data distribution of the target domain. We specifically show results when using conditional GAN and CycleGAN.