contrastive-unpaired-translation
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taesungp
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Hello, I want to ask how to keep the input and output size of image unchanged. I need to input a 480 * 640 image set for training and testing....
As stated in the paper, DRN is used to evaluate the mAP, pixAcc. It seems you train a new model to conduct the evaluation and I have several questions regarding...
I get the following error: ```console AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' ``` after running ```console python train.py --dataroot ./datasets/grumpifycat --name grumpycat_FastCUT --CUT_mode FastCUT ````
Hello, If I want to adjust the number of patches(--num_patches) from 256 to 512 Do I need to adjust (--netF_nc) from 256 to 512 ?
Hello, I cloned the repo and installed required packages (with environment.yml) on my Win10 laptop. I tried to run the sincut example : python train.py --gpu_ids 0 --name singleimage_monet_etretat --dataroot...
Thank you for sharing this projects. BUT I use the default setting of CUT, by simply run "python train.py", after 400 epoches, I use pytorch_fid to calculate FID, but I...
First of all, thank you for your great work. I'm trying to train FastCUT for Cityscapes, Cat2Dog, and Horse2Zebra using your code. However, I have found the loss of G_GAN...
I always report this error when I train your data set. Can you give me some guidance
We are looking to usse FASTCUT or CUT on a custom dataset. Could you give me an idea how long it took to train the model on the afhq dataset...
It will be very helpful if you will provide a colab notebook of this similar to cyclega and pix2pix
