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In this paper, we propose a kinship generator network that can synthesize apossible child face by analyzing his/her parent's photo. For this purpose, wefocus on to handle the scarcity of kinship datasets throughout the paper byproposing novel solutions in particular. To extract robust features, weintegrate a pre-trained face model to the kinship face generator. Moreover, thegenerator network is regularized with an additional face dataset andadversarial loss to decrease the overfitting of the limited samples. Lastly, weadapt cycle-domain transformation to attain a more stable results. Experimentsare conducted on Families in the Wild (FIW) dataset. The experimental resultsshow that the contributions presented in the paper provide importantperformance improvements compared to the baseline architecture and our proposedmethod yields promising perceptual results.

KinshipGAN: Synthesizing of Kinship Faces From Family Photos by Regularizing a Deep Face Network