JunlinHan

This one is unsupervised while pix2pix is supervised (.i.e, paired data for training).

~ 5000 iterations per epoch. I assume every iteration in CUT takes ~0.4 sec on a GTX 1080 GPU. (400 * 5000 * 0.4)/3600 = ~ 222 hours. FastCUT is...

Sorry dude, I can not fully understand your question. There's two datasets related to cat in this project. One is from AFHQ, around 5000 images in each domain ( cat...

> > Hi there thanks for your reply. I wanted to ask if the dataset doesn't need label, how it will be trained? How the network will understand how bad...

Did you use the correct command? This one: python train.py --model sincut --name singleimage_monet_etretat --dataroot ./datasets/single_image_monet_etretat It take some hours in a normal GPU (1080Ti or better one).

Emm, one simple solution is that you may create a testB with one image (one is enough).

Hi, You are correct! Just add --continue_train --epoch_count XX( where XX is the epoch in your automatically saved latest model)

Hi Hudaladi, No worries at all, I'm happy to help! 1: Do You think Your Project is capeable to take glass reflections away? Yes, BIDeN is OK to perform reflection...