Comments (2)
From my observation, without the rigorous training, the homomorphic loss does not take effect.
The results is shown in Fig. 3(d)
If you want to reproduce this phenomenon, you could try to replace
https://github.com/yingcong/HomoInterpGAN/blob/b32f4af3100a8946bc5a31f3ee679181a1726848/optimizer/optim_homoInterp.py#L159
with
self.loss['discrim_cls'] = classification_loss_list(real_attr, att_detach)
Can I consider T^k in interpolator as a "fliter" used to get rid of variables which are not related to correspond attribute from "feature code" F ?
Yes, you can view it like this.
from homointerpgan.
I get this. Thanks a lot.
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Related Issues (12)
- supplementary material HOT 1
- TypeError: 'NoneType' object has no attribute 'getitem' HOT 1
- weird results HOT 10
- Questions about the results in supplementary material HOT 5
- TypeError: '>' not supported between instances of 'str' and 'int' HOT 6
- How to train this code on RafD dataset? Could you also share the pretrained model on RaFD? Thanks HOT 4
- ModuleNotFoundError: No module named 'colored' HOT 1
- Interpolation between dogs and cats HOT 7
- AttributeError: 'Namespace' object has no attribute 'random_crop_bias'
- About the file of Rafd_image.csv HOT 2
- Is it possible to generate an image without reference image ?
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