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Thank you for your great efforts!
I tried to reproduce your results for LSGAN, however, there is some mismatch between the paper and this repo.
In lsgan.py, the loss function of LSGAN_RumiGAN is i…
kiddj updated
3 years ago
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There exists an apparent error in the implementation of LSGAN below.
https://github.com/akanimax/BBMSG-GAN/blob/da82aa2e8507d17801bd2134a4ae754335d716f5/sourcecode/MSG_GAN/Losses.py#L145
Right i…
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You code about the D_loss
`d_adv_loss = self.compute_adv_loss(self.d_real, True, 0.5) + self.compute_adv_loss(self.d_fake, False, 0.5)`
The official code of D_loss
```
if type == 'lsgan': …
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Traceback (most recent call last):
File "age_lsgan_transfer.py", line 167, in
tf.compat.v1.app.run()
File "/home/cv-lab/anaconda3/envs/Beekam/lib/python3.7/site-packages/tensorflow/python/…
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Traceback (most recent call last):
File "age_lsgan_transfer.py", line 74, in
z_dim=FLAGS.noise_dim, scale_size=(FLAGS.image_size, FLAGS.image_size), mode='train')
File "./tools/data_genera…
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In paper https://arxiv.org/pdf/1611.04076.pdf section `3.2.3 Parameters Selection` in `eq. 9` they use `b=1, a=0, c=1`, but I can't see this constants in the code:
https://github.com/eriklindernoren…
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First of all, thanks for this contribution.
As some may have noticed, there is some inconsistency between the BDL repository and the CycleGAN repository which has updated since it was used by BDL. …
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Hello. Thanks for your awesome work.
I found that the generator of PATN uses instance norm, while that of PATN_Fine uses batch norm (models/networks.py L119 define_G).
What's more, PATN uses lsg…
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Sort of adversarial autoencoder. Train a normal autoencoder (with constraints on the latent space to prevent drifting) simultaneously with a normal GAN (or perhaps an LSGAN?).
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In [model_gan.py](https://github.com/cszn/KAIR/blob/master/models/model_gan.py#L222) we have:
```python
if self.opt['train']['gan_type'] in ['gan', 'lsgan', 'wgan', 'softplusgan']:
…
jxtps updated
2 years ago