rmokady / mbu-content-tansfer Goto Github PK
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License: MIT License
Mask Based Unsupervised Content Transfer (ICLR 2020)
License: MIT License
Great work! Thanks for sharing your code. Could you share more about your training settings? (like the version and the number of GPUs you use, how long for training)
Why the default value of sep is 25?
downloader file : url of Dropbox not found 404
Hi !
Thanks for your great work and detailed documentation.
I am noticing that you used different parameter for different task and I am wondering if you can you also give me some insight of how to tune the parameter for different task ?
Thank you !
First of all, Thank you for sharing awesome work!
I would like to test attribute removal of facial hair(such as Figure 6 and Figure 27 in your paper)
Could you tell me how to do that in your code??
And hyperparameter is showed in this?
Hyperparameters for men hair segmentation ("dark hair to bald content transfer", use the bald condig in preprocess.py):
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