[murbard2]

Two remarks

1) Captain obvious says: the "tripiness" of these images is hardly coincidental, these networks are inspired by the visual cortex.

2) They had to put a prior on the low level pixels to get some sort of image out. This is because the system is trained as a discriminative classifier, and it never needed to learn this structure, since it was always present in the training set. This also means that the algorithm is going to be ignoring all sort of structures which are relevant to generation, but not relevant for discrimination, like the precise count and positioning of body parts for instance.

This makes for some cool nightmarish animals, but fully generative training could yield even more impressive results.