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Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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Hello, Great work! I would like to ask if CUT can handle multi-channel images? The RGB image can be regarded as a 3-channel image, but now I need to use...

Two issues I've been running into when attempting to perform inference with the test.py script: 1. When running with GPU, with no preprocessing (i.e. input shape is size of input...

After I run: python test.py --dataroot ./datasets/grumpifycat --name grumpycat_CUT --CUT_mode CUT --phase train,an error ocurred, FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/grumpycat_CUT/latest_net_G.pth'. I don't understand, because before this,...

Hi! First of all, awesome paper. I was wondering what the purpose of passing the feature maps through the MLP is?

I did not find any documentation for testing the learned network for transferring from B to A. Is there a way of doing it?

I was trying to train with an aligned dataset. The default (unaligned training) works fine. However if I want to leverage the aligned feature of the set I get this...

Like convert naruto style to one piece style, is this possible to be done?

AttributeError: Can't pickle local object 'Visdom.setup_socket..run_socket'

I tried to use the flag "--gpu_ids 0,1" in the command "python test.py --dataroot ./datasets/mscoco17/ --name model-name --CUT_mode CUT --phase train --load_size 786 --crop_size 786 --num_test 20 --gpu_ids 0,1". With...

sorry to bother, I wonder if you could please publish your pretrained segmentation model on cityscapes