because each of the generative models might generalize in a slightly different way they might capture many different axes of variation that one individual model wouldn't and then the classifier can capture all of those ideas by training in all of their data so we'd be a little bit like making an ensemble of classifiers and I say oh of gans yeah in a way I think that could generalize better the other thing that gans are really good for is not necessarily generating new data that's exactly like what you already have but