“Deep Fakes” using Generative Adversarial Networks (GAN)

Figure 5. A demonstration of cycle-GAN [4] Figure 6. Demonstration of results for handbag-backpack trans-lation using Cycle-GAN. Left column for real images and right column for generated images loss for the whole cycle-GAN as L GAN, and we combine the discriminator losses together to get the discriminator loss for the whole network as L D ...

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