DRIT-Tensorflow
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taki0112
Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)
i run DRIT code on horse2zebra dataset after 10 epochs it gives nan for g_loss and d_loss i use original gan loss function.
Hello, thanks for the implementation. I find a problem when I change the 'n_layer' parameter. It only works when set to 4. I check the code and find that in...
First of all, thank you for your work. It really helped me. My question is regarding the double discriminators used in the paper. If I am not wrong, There are...
Hello, what is mis_resblock? Why is its use compared to regular res_block? Thank you for sharing your work.
What is the difference between content_encoder and attribute_encoder?
I am using your implementation on my own data and I see the discriminator content loss decreases very quickly and after few epochs it becomes stable (very small values in...
