At present, two-stage networks are widely used in image restoration methods, but existing two-stage network often generates inpainting results with distorted structures and blurry textures, especially when reconstructed object is more complex. The main reason is insufficient structure prior and inaccurate, which leads to generating wrong results in texture generation stage. In order to solve this problem, a novel Image Inpainting based on Edge and Smooth Structures Prediction is proposed. The edge structure and smooth structure are completed in structure reconstruction stage, and reconstructed edge structure and smooth structure are simultaneously used as a prior to guide texture generation stage fills in damaged area. The proposed method is evaluated on publicly available datasets Paris StreetView, CelebA-HQ and Places2, and many experiments show that proposed method obtains excellent results under subjective and objective indexes compared with mainstream approaches.
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