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GAN refers to Generative Adversarial Networks. Such networks is made of two networks that compete against each other. The first one generates new samples and the second one discriminates between generated samples and true samples.

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Using Generative Adversarial Network to generate Single Image

Most generative adversarial networks learn the distribution of the dataset and then generate a sample of 10's to 100's of images with similar distributions. I am curious if there is any research regen …
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