Image To Image Translation On Vangogh2Photo

Frechet Inception Distance

Number of Params

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
CycleGAN	163.4	28.2M	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
PoL (CycleGAN)	134.4	15.9M	Powers of layers for image-to-image translation
U-GAT-IT	-	-	U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

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