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PyTorch Implementation for Unsupervised Person Image Generation with Semantic Parsing Transformation

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Could you tell me how to train networks with a different dataset? Thank you.

it can't be recurrentted. I can't compare with my method.

I uses the pre-trained models to test, but when I use this model test a new image, how can i generate an .npy file and keypoints.csv file ? Thanks for...

Is the part of semantic parsing transformation included in this code? I'm sorry but I can't find it.

Using 2to3 for a pre-screening and reformatting, then fix the float division problem by changing all `/` to `//`. Also, a bug related to string processing is fixed, where `split('\r\n')[0]`...