This assignment gives a brief bibliographical review in both papers of the DC-GAN and the Wasserstein GAN, and then summarizes a more advanced architecture that combines two GANs the CycleGAN. The second part of this paper to describe in short the implementation of CycleGAN and result in using this GAN in translating images from the MNIST dataset to the USPS dataset.
ensae_cyclegan's Introduction
ensae_cyclegan's People
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