الفهرس 
Title : Gankin: generating kin faces using Disentangled gan
ContentsOnly 14 pages are availabe for public view
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Abstract
Kin image generation from parents{u2019} images is a high-level prediction and generation problem. This study presents a new method to predict and generate a kin face using parents{u2019} faces, i.e. Tri-subject prediction or two-to-one prediction. We use a pipeline of unconditional GANs to overcome mode-collapse in conditional GANs. The model achieves promising results compared to the state-of-the-art, our model achieves a retrieval score of 0.19 versus 0.107 by the state-of-the-art. Our model is validated against SelfKin kinship verification model and achieved an accuracy of (63 % 7 %)