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What is: U-Net Generative Adversarial Network?

SourceA U-Net Based Discriminator for Generative Adversarial Networks
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

In contrast to typical GANs, a U-Net GAN uses a segmentation network as the discriminator. This segmentation network predicts two classes: real and fake. In doing so, the discriminator gives the generator region-specific feedback. This discriminator design also enables a CutMix-based consistency regularization on the two-dimensional output of the U-Net GAN discriminator, which further improves image synthesis quality.