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Dear Fellow Scholars, this is Two Minute Papers with Kroly Zsolnai-Fehr. Recently, a new breed of AI techniques surfaced that were capable of this new thing called image translation. And by image translation I mean that they can translate a drawn map to a satellite image, take a set of color labels and make a photorealistic facade, or take a sketch and create a photo out of it. This is done through a Generative Adversarial Network. This is an architecture where we have a pair of neural networks, one that learns to generate new images, and the other learns to tell a image from a real one. As they compete against each other, they get better and better without any human interaction. In these earlier applications, unfortunately, the output is typically one image, and since there are many possible shoes that could satisfy our initial sketch, it is highly unlikely that the one we are offered is exactly what we envisioned. This improved version enhanced this algorithm to be able to produce
