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sergeywong / cp-vton

Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
MIT License
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Why isn't the GMM network correct to the original paper. #25

Closed VyBui closed 4 years ago

VyBui commented 4 years ago

Dear Mr @sergeywong ,

As i far as i understand, your network reimplements GMM from this paper: https://arxiv.org/pdf/1703.05593.pdf . In the original GMM's paper the architecture was: Stage 1: ImageA -> featureExtraction -> fA ImageB -> featureExtraction -> fB

then matching(fA, fB) -> AffineRegresstion(CAB) -> ThetaAff , then warp to imageA to become ImageWarpA.

Stage 2: Repeat over featureExtraction ImageWarpA , then matching(fImageWarpA, fB) -> TBS Regression -> ThetaTPS. Which matching is correlation layers plus L2-Norm.

However, in your network you implemented like this (please see the attached) Screen Shot 2019-11-27 at 10 13 40

Can you please explain why it that, or just point out where i am missing you in the paper?

Thank you for your time. Cheers!