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It makes me confused that which one is correct?
As implemented in wgan.py, we have
self.g_loss = tf.reduce_mean(self.d_)
self.d_loss = tf.reduce_mean(self.d) - tf.reduce_mean(self.d…
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Hello everyone,
I am trying to train a WGAN-GP model on O1 and O2 opt levels, but on the gradient penalty phase, I get gradient overflow error till the division with zero exception with both O1 and O…
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In the WGAN_GP paper [ArXiv](https://arxiv.org/abs/1701.07875), alpha is sampled for each example. However, it's sampled element-wise referred to [WGAN_GP](https://github.com/znxlwm/pytorch-generative…
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Hi, I read your newest version paper (v3) in arxiv, and i saw that add MSG_styleGAN information, I'm glad to see it , but I have some question about paper :
1. I think you paper said the result of…
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Hi, I want to report a bug and corresponding fix to your team.
I believe this fix could help others who use WGAN-gp algorithm to train GANs.
## Bug and Reason
It appears in the "code example" …
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Hello. Please help me how to modify your code LapSRN_WGAN for same size image processing without upsampling input image? I want use LapSRN_WGAN for image processing with same size
Should I modify…
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It looks that WGAN with gp improves the GAN training process a lot. Is it easy to rewrite this project with WGAN and gp?
thanks!
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Thank for your work! I'm confused about the batch normalization layer used in the discriminator of wgan_gp. I think there shouldn't be any batch normalization layer in the discriminator.
I think the …
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at 113 line in WGAN_GP, I recommend changing the code
`alpha = tf.random_uniform(shape=self.inputs.get_shape(), minval=0.,maxval=1.)`
to
`alpha = tf.random_uniform(shape=[BATCH_SIZE,1,1,1], minva…
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Hi, I met ConnectionRefusedError when running the command:
`python main.py --data_root datasets/CKPlus --which_model_netR resnet18 --backend_pretrain --gpu_ids 0 --gan_type wgan-gp --load_size 250 --…