<ul><li>Pix2Pix is a conditional GAN that excels in paired image-to-image translation, training on aligned pairs of input and output images.</li><li>Pix2Pix uses a U-Net generator and a PatchGAN discriminator, with the L1 loss ensuring pixel-perfect matches between the generated and target images.</li><li>On the other hand, CycleGAN is an unpaired image-to-image translation method that can transform images from one domain to another without requiring matched pairs.</li><li>CycleGAN's key innovation is the cycle consistency loss, which ensures that translating an image back and forth between domains yields a close approximation of the original image.</li></ul>

Bridging Worlds: Paired and Unpaired Image-to-Image Translation with GANs

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