Neural Networks and Optical Illusions

In particular the use of the GAN architecture is of interest.

Neural Networks Don't Understand What Optical Illusions Are
By Technology Review

Machine vision systems cannot process images like this the way humans can.
University of Louisville researchers have determined that machine vision systems cannot process optical illusions the same way humans can.

Researchers at the University of Louisville have found that machine vision systems cannot process optical illusions in the same way humans can.

The researchers compiled a database of more than 6,000 images of optical illusions and trained a neural network to recognize them, then built a generative adversarial network to create optical illusions for itself. After seven hours of training, however, they found nothing of value was created.

The researchers believe generative adversarial networks are unlikely to be able to learn to trick human vision without being able to understand the principles behind such illusions, the result of crucial differences between machine vision systems and the human visual system. ... "