Image To Image Translation On Zebra2Horse

Frechet Inception Distance

Number of params

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
PoL (CycleGAN)	112.3	15.9M	Powers of layers for image-to-image translation
CycleGAN	110.5	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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