DCLGAN
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JunlinHan
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.
Hello Junlin, Thank you very much for your code! I was just wondering, what is the command to resume training from a checkpoint? I tried this one, but it didn't...
I have some problems with my training facdes dataset and maps dataset   The translation result on facdes is always the same, and there will be no change ...
Hello, can DCLGAN carry out the training of paired image translation？
Hello! Thank you so much for doing such a good job. I would like to know that when do I end the training while training for the best results? And...
Hello! Thanks for open source your code. I was training the summer2winter_yosemite dataset, but when I trained 50 epochs, I tested FID=115.7, when I trained 100 epochs, I found that...
Hi, I ran the following config, ``` python train.py \ --dataroot datasets/a_to_b \ --name a_to_b \ --model simdcl \ --no_flip \ --lr_policy linear \ --gpu_ids 0,1,2,3 \ --direction AtoB \...
Hello, in dcl_model.py why can you use self.loss_G to do backpropagation with both G_A and G_B ? Is there any special way to handle this?
Hello, I'm very interested in your work. I've just come into this field. How can I get the FID value？
Hello! Have you tested the model with high resolution images (512, 1024, ...)? Pictures are also drawn with high quality? What parameters do you recommend to change to train 512x512...
It will be very helpful if you will provide a colab notebook Thanks
