GANKIN

A study presents a new method to predict and generate a kin face using parents’ faces, i.e. Tri-subject prediction or two-to-one prediction. Training one end-to-end conditional GAN from scratch can run into mode-collapse and may not converge. A series of unconditional GAN is used to overcome all those problems. The model achieves promising results compared to the state-of-the-art.