Image To Image Translation On Photo2Vangogh

Frechet Inception Distance

Number of params

Results

Performance results of various models on this benchmark

			Paper Title
PoL (CycleGAN)	152.7	15.9M	Powers of layers for image-to-image translation
CycleGAN	151.4	28.2M	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
U-GAT-IT	-	-	U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

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