conditioned unfortunately the use of these normalization constants that are computed across a whole mini batch can induce correlations between different samples generated in the same mini batch so I'm showing you a grid of sixteen examples in the top image that we're all in one batch and then the next grid of sixteen samples is all in another batch same generator model in both cases the only reason that there seems to be a common theme in all the examples in each image is that they're using the same mean and standard deviation normalizing