  A Cleft lip is a congenital abnormality requiring surgical repair by a
specialist. The surgeon must have extensive experience and theoretical
knowledge to perform surgery, and Artificial Intelligence (AI) method has been
proposed to guide surgeons in improving surgical outcomes. If AI can be used to
predict what a repaired cleft lip would look like, surgeons could use it as an
adjunct to adjust their surgical technique and improve results. To explore the
feasibility of this idea while protecting patient privacy, we propose a deep
learning-based image inpainting method that is capable of covering a cleft lip
and generating a lip and nose without a cleft. Our experiments are conducted on
two real-world cleft lip datasets and are assessed by expert cleft lip surgeons
to demonstrate the feasibility of the proposed method.
