RelGAN-PyTorch
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RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Hi, can you share the script to reproduce your great metrics in your paper. Also, i want to compare my own model with yours, so it will help a lot...
Hello. Are you planning on releasing your trained models? That would be very helpful
rain.py:111: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. args.selected_attributes = yaml.load(open(args.attr, 'r', encoding='utf-8')) Loading annotations... Loading image list......
After training it on 110k iterations (paper trained it on 100k) this is the result. It seems very different from the paper, have I done something wrong? I must add...
reuirements install command error
File "/home/lbl/work/Meta-learning and I2I Translation/RelGAN-PyTorch-master/nn.py", line 212 alpha = alpha.cuda(async=self.multi_gpu) if self.gpu else alpha ^ SyntaxError: invalid syntax
I want to only the attribute "Smiling". Do you have some advice?The result of relgan(keras version) is poor...
hi! i am confused about wrong triplets. why you use wrong triplets? and is it important for match discriminator? hope for your reply. best wishes
I found that in your paper in page.6, the results of stargan is really poor. I reproduced stargan in celeba-hq and got bad results too. But in stargan paper, it...
Hi, it can train with 1024 image size