most citedCycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4

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Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4

J. de Curtó, R. Duvall

Generative Adversarial Networks (GANs) have had tremendous applications in Computer Vision. Yet, in the context of space science and planetary exploration the door is open for majo…