Deeply Supervised Face Completion with Multi context Generative Adversarial Netw

Abstract—Recent face completion works have achieved significant.improvement using Generative Adversarial Networks.(GANs). There are still two important issues in this challenging.task: (1) semantic understanding; and (2) high-frequency details.prediction. In this paper, we propose a unified model by