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CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer
[article]
2020
arXiv
pre-print
While existing makeup style transfer models perform an image synthesis whose results cannot be explicitly controlled, the ability to modify makeup color continuously is a desirable property for virtual try-on applications. We propose a new formulation for the makeup style transfer task, with the objective to learn a color controllable makeup style synthesis. We introduce CA-GAN, a generative model that learns to modify the color of specific objects (e.g. lips or eyes) in the image to an
arXiv:2008.10298v1
fatcat:n4apgkkdlzbgreuemwx3zdosye