Machine-Vision Algorithm Learns to Transform Hand-Drawn Sketches Into Photorealistic…

Reshared post from +Kaj Sotala

Machine-Vision Algorithm Learns to Transform Hand-Drawn Sketches Into Photorealistic Images.

> A more promising approach is to use machine-vision algorithms that rely on neural networks to extract features from an image and use these to produce a sketch. In this area, machines have begun to rival and even outperform humans in producing accurate sketches.

> But what of the inverse problem? This starts with a sketch and aims to produce an accurate color photograph of the original face. That’s clearly a much harder task, so much so that humans rarely even try.

> Now the machines have cracked this problem. Today, Yagmur Gucluturk, Umut Guclu, and pals at Radboud University in Denmark have taught a neural network to turn hand-drawn sketches of faces into photorealistic portraits. The work is yet another demonstration of the way intelligent machines, and neural networks in particular, are beginning to outperform humans in an increasingly wide variety of tasks.

Article: https://www.technologyreview.com/s/601684/machine-vision-algorithm-learns-to-transform-hand-drawn-sketches-into-photorealistic-images/

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