I always wondered if you could use adversarial neural networks to find images that the brain recognizes as something else, just like you can fool NNs. You could

I always wondered if you could use adversarial neural networks to find images that the brain recognizes as something else, just like you can fool NNs. You could use this to find low-poly representations of your objects that are indistinguishable from the real ones. Probably you'd have to calibrate this for every user though.