Openreview thread and paper and poster.

Spectral normalization was published by what seems to be roughly the same research group and has been one of few GAN modifications that improves GAN performance, reliably and significantly. This paper proposes a regularization term in the cost function that encourages the generator to maximize its entropy, in order to prevent mode collapse, which looks very promising.

However, I really can’t wrap my head around what they are actually doing, i.e. how to implement the regularization, the theory section is rather dense and I can’t find any implementations. Any pointers towards code or rough pseudocode would be very much appreciated.