It seems to me that the network is not being run in evaluation mode (and therefore use the population mean/variance for the batch/instance normalization layers) when running feed forward/generating styled images. Is this intentional? I read your paper and wasn't sure if
Differently from batch normalization, furthermore, the instance normalization layer is applied at test time as well
meant to calculate the means/variances during test time as well/not use population statistics.
It seems to me that the network is not being run in evaluation mode (and therefore use the population mean/variance for the batch/instance normalization layers) when running feed forward/generating styled images. Is this intentional? I read your paper and wasn't sure if
meant to calculate the means/variances during test time as well/not use population statistics.