Closed UdonDa closed 4 years ago
It takes a while for the model to generate some nice pictures. I trained with batch size of 16 pictures, and the pictures become reasonable after something like 20K iterations. It is possible to stabilize the training by reducing the learning rate, but then the final results look worse.
I can get the clear samples! thanks!
The result which is generated by the model is trained during 400 iterations.
I think it looks that the models fail to learn. I modify
inplace=False in nn.ReLU and nn.LeakyReLU in blocks.py.
following this issue https://github.com/NVlabs/FUNIT/issues/23Thanks.