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taki0112 / UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

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the light version performance badly

dragen1860 opened this issue · comments

commented

As i can tell , the full UGATIT model performance relatively good. However, due to its up to 1GB giant size, we can not adopt it conveniently. I tried the light version, it perform quite bad, a lot of anime crashed obvisouly. Could the author give some advice on how to keep the UGATIT model efficient while keeping SOTA? thank you.

commented

please show demo image.
I want to know the difference between the two models, is there a picture example?