Comments (3)
It's quite strange, are the sampled images in the training process normal?
from stgan-pytorch.
yes, the sampled images are normal 😂.
By the way, from your exhibited results in Readme, some effects look not completely the same as STGAN-tensorflow repo, such as to young?
from stgan-pytorch.
yes, the sampled images are normal 😂.
By the way, from your exhibited results in Readme, some effects look not completely the same as STGAN-tensorflow repo, such as to young?
I think you should check whether model.eval() is called before generating images in the test function. As for the results, in fact STGAN doesn't behave well on some attributes such as eyeglasses. If you clone the tensorflow-version repo and run some test with the checkpoints provided by author, you will find that the results are far worse than they showed.
from stgan-pytorch.
Related Issues (12)
- Why this reimplementation use bias==False in all CONV layers? HOT 3
- test code HOT 1
- Is there mode collapse in "add eyeglass" attribute?
- Please wait while finalizing the operation.. Thank you HOT 1
- doesnot run train.py completely.
- x_fake should be x_real in reconstruction item HOT 1
- how to set model_name HOT 4
- can you provide a pre-trained model? HOT 2
- What does the 'shortcut_layers' mean in the code? HOT 1
- # about training time cost HOT 1
- TypeError: can't multiply sequence by non-int of type 'tuple' HOT 7
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from stgan-pytorch.