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the error is: Variable g_h0_lin/Matrix/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
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I trained the network with following setting:
`python train.py --gpu 0 --train_kimg 600 --transition_kimg 600 --beta1 0 --beta2 0.99 --gan lsgan --first_resol 4 --target_resol 256 --no_tanh --exp_d…
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I made a copy on my disk, and after trying to download using curl([like here](https://github.com/taki0112/UGATIT/issues/5#issuecomment-521614804)), but this is not a matter of results, the archive is …
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Hi, train 64x64 dataset with your code . But it failed , and I test something ,like D network and loss
Here is my result:
1. sn_projection Discriminator is good, and it work fine. but wrong use in …
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Hi
I'm interested your paper
So I'm reproducing the CartoonGAN
However, I don't know hyper-paramter in detail.. like weight initialization.. (xavier ? gaussian?)
I want to know hyper-parameter i…
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Can you tell me if the beta model produces better results than the FOMM?
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Hello,
I'm trying to train the CycleGAN in order to use the same configuration you had while training the network, but using a different dataset. After following the [readme.md](https://github.com/li…
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Hi
1. If you look at configs, there is no information about `animal translation`.
When will you upload it?
Is it ok to just run as hyper-parameter like edge2shoes?
2. The paper used a common …
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I see that the GAN loss function used in your AMP algorithm example is not the same as the loss function mentioned in the AMP paper. You are using something like "-E[log(D(s,s'))]-E[log(1-D(s…
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when training, the below error occurs:
```
python train.py \
--dataroot /content/psgan_datasets/ \
--name my_experiment_1 \
--model pix2pix \
--which_model_netG unet_256 \
…