People who don’t exist. GANs

December 11, 2017

This image translation AI makes use of a type of algorithm called a generative adversarial network (GAN).

In a GAN, two neural networks work together by essentially working against each other. One of the networks generates an image or video, while the other critiques its work.

Typically, a GAN requires a significant amount of labeled data to learn how to generate its own data. For example, a system would need to see pairs of images showing what a street looked like with and without snow in order to generate either image on its own.

However, this new image translation AI developed by Nvidia researchers Ming-Yu Liu, Thomas Breuel, and Jan Kautz can imagine what a snow covered version of a street would look like without ever actually seeing it.

Read here or watch the demo: Youtube



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