Papers › GANiry: Bald-to-Hairy Translation Using CycleGAN

GANiry: Bald-to-Hairy Translation Using CycleGAN

27 Sep 2021arXiv:2109.13126archive 2025-07-28

Fidan Samet, Oguz Bakir

This work presents our computer vision course project called bald men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture, we utilize perceptual loss in order to achieve more realistic results. We also integrate conditional constrains to obtain different stylized and colored hairs on bald men. We conducted extensive experiments and present qualitative results in this paper. Our code and models are available at https://github.com/fidansamet/GANiry.

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Translation

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Methods

Batch NormalizationConvolutionCycle Consistency LossGAN Least Squares LossInstance NormalizationPatchGANReLUResidual BlockResidual ConnectionSigmoid ActivationTanh Activation

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