Recently, learning-based image completion methods have made encouraging progress on square or irregular masks. The generative adversarial networks (GANs) been able to produce visually realistic and semantically correct results. However, much texture structure information will be lost in the process. If missing part is too large provide useful information, result ambiguity, residual shadow, obje...

Face images are often used in social and entertainment activities to interact with information. However, during the transmission of digital images, there factors that may destroy or obscure key elements image, which hinder understanding image’s content. Therefore, study image completion human faces has become an important research branch field computer processing. Compared traditional inpaintin...