Image inpainting based on edge and smooth structures prediction

Zhengqiong Li; Jiahao Meng; Xionngfei Jia; Chaorong Liu; Jie Liu

doi:10.1117/12.3021258

25 March 2024 Image inpainting based on edge and smooth structures prediction

Zhengqiong Li, Jiahao Meng, Xionngfei Jia, Chaorong Liu, Jie Liu

Proceedings Volume 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023); 130890Y (2024) https://doi.org/10.1117/12.3021258
Event: Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 2023, Suzhou, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhengqiong Li, Jiahao Meng, Xionngfei Jia, Chaorong Liu, and Jie Liu "Image inpainting based on edge and smooth structures prediction", Proc. SPIE 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 130890Y (25 March 2024); https://doi.org/10.1117/12.3021258

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