down a hill gives three different images of a man in essentially the same pose when we use a generative adversarial Network but using the model developed in this paper it's possible to get greater diversity in the output one way that we can try to reduce the mode collapse problem is to introduce what Tim Solomon calls mini-batch features these are features that look at the entire mini batch of samples when examining a single sample if that sample is too close to the other members of the mini batch then it can be rejected as having collapsed