Closed watsonyanghx closed 4 years ago
Thanks for pointing out this. Actually I used the default setting of BatchNorm for all my experiments. No further trials indicate if a different running model does bring any influence. Anyway it is an interesting topic that deserves a trial.
Thanks for your reply.
I have tried to split train
and test
phase, and the images sampled in training mode looks good, but when changed to testing mode (set is_training=False
of batch normalization), all the images generated looks very bad, they are just noisy points.
I see you don't specify the running mode in batch_norm. Is there any reasons? Does this have a big influence in the quality of image generated?