U-Net GAN Explained
![U-Net GAN Explained](https://production-media.paperswithcode.com/methods/unetgan_BmLpRoq.png)
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.
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U-NET Architecture Explained and Implementation
![](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-805/1/fig-5-full.png)
A quantization assisted U-Net study with ICA and deep features
![](https://theaisummer.com/static/2c373d3667071700748bf451c4e62b78/3accd/long-skip-connection.jpg)
Intuitive Explanation of Skip Connections in Deep Learning
![](https://miro.medium.com/v2/resize:fit:1400/1*Hvn6WlNwxUkjPiijl2s2pg.png)
Video restoration and visual quality enhancment using U-net
![](https://machinelearningmastery.com/wp-content/uploads/2019/04/Example-of-the-Generative-Adversarial-Network-Model-Architecture.png)
A Gentle Introduction to Generative Adversarial Networks (GANs
![](https://europepmc.org/api/fulltextRepo?pprId=PPR454243&type=FILE&fileName=EMS143180-f001.jpg&mimeType=image/jpeg)
Modality specific U-Net variants for biomedical image segmentation
![](https://miro.medium.com/v2/resize:fit:1400/1*ubWJKTBNuZul3_LsvJGd_A.png)
Video restoration and visual quality enhancment using U-net
![](https://image.slidesharecdn.com/u-net1-220514053853-5fbc8544/85/unet-1pptx-3-320.jpg?cb=1667335450)
U-Net (1).pptx
![](https://machinelearningmastery.com/wp-content/uploads/2019/05/Depiction-of-the-Encoder-Decoder-Generator-and-U-Net-Generator-Models.png)
A Gentle Introduction to Pix2Pix Generative Adversarial Network
![](https://blog.kakaocdn.net/dn/UOdz7/btqHOZ0X3kB/h5eGfppsh9A7PN6sofphK1/img.png)
논문리뷰] A U-Net Based Discriminator for Generative Adversarial