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Exact implementation of referenced paper?

Open y22ma opened this issue 8 years ago • 0 comments

Hey guys,

Great work! Just curious, is this repo following the exact proposed algorithm by "Unsupervised Image-to-Image Translation Networks"?

Based on what I'm seeing from train.py, it doesn't seem to train functions E1, E2, G1, G2 and D1, D2 as proposed by the paper, where E1 maps X1 into the latent space where G2 maps from latent space to X2.

Instead it seems to be mapping between the two groups directly?

y22ma avatar Dec 06 '17 03:12 y22ma