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The derivative of sigmoid is very small when the scores are away from zero, which is why sigmoid activation has all but abandoned in deep learning. In the original GAN, the logarithm of sigmoid is use…
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Hello, I really appreciate your elegant implementation of the gated convolution and the coarse to fine structure. I am very curious about how long does it take to get the comparable result as the orig…
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It raise RuntimeError when I run `python ./uvcgan-main/scripts/translate_images.py ./uvcgan-main/outdir/selfie2anime/model_d\(cyclegan\)_m\(cyclegan\)_d\(basic\)_g\(vit-unet\)_cyclegan_vit-unet-12-sel…
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Hi,
I want to ask if the master branch can run the train step?
python main.py --phase train --dataset Hayao --data_mean [13.1360,-8.6698,-4.4661] --epoch 101 --init_epoch 10
I got a lot of errors r…
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Hi, I can get good results with cyclegan in 'lsgan' mode on horse2zebra dataset, but when I change the gan mode to 'wgangp' and follow your codes:
self.loss_gp, gradients = cal_gradient_penalty()...
…
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Hi,
thank you for sharing this implementation.
do you plan on adding support for the identity mapping loss as described in the original paper?
thanks
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Hi...
I was wondering if adding Wasserstein distance to the code would help the GAN to stabilize and give better results... from what I've read, it has really nice properties and implementing it sh…
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Thank you for sharing the implementations of the GAN based models on popular datasets like CelebA.
I have implemented the WGAN-GP model (in PyTorch), the samples are looking closer the reported work …
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sorry for botehr but i am new to Keras. does it make a round() operation and compute the accuracy?
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Hi
I ran ```python test.py --checkpoint_dir checkpoint/generator_Hayao_weight --test_dir dataset/test/real --style_name H``` and got a nice results as you shown!
There are three styles, Hayao, P…