Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3478-3484

Face image inpainting algorithm based on edge prior fusion dynamic gating features

Chen Ting1
Wang Tong1
Zhang Jiwu2
Chen Guangchen1
1. Factory of Mechanical & Electrical Engineering, Kunming University of Science & Technology, Kunming 650500, China
2. Yunnan Tobacco Quality Supervision & Testing Station, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2023.03.0123

Abstract

To address the problem of texture blurring and structural distortion when repairing large irregular damaged areas in existing facial image repair algorithms, due to their inability to extract dynamic features and lack of edge prior information, this paper proposed a facial image repair algorithm based on edge prior fusion and dynamic gated feature. Firstly, it designed a dynamic gated convolution module to dynamically extract features from the damaged area, linking effective features of the known and missing areas to enhance the delicacy of the texture. Then, it designed a dynamic gated edge enhancement network and a U-shaped encoding texture repair network. The edge enhancement network aimed to capture edge contour information, providing structural prior constraints for the U-shaped encoding texture repair network. The U-shaped encoder texture repair network adopted the UNet++ to fuse multi-layer features to ensure the consistency of structure and texture in the repaired facial image. Finally, it demonstrated the effectiveness and universality of the UNet++through ablation experiments, and pruned U-shaped network to select the appropriate facial image model representation layer for texture reconstruction in the missing area. Experiments were carried out on the CelebA-HQ facial dataset for evaluation. The experimental results show that compared with mainstream algorithms, the proposed method improves SSIM by an average of 3.87%, PSNR by an average of 3.79 dB, and reduces FID by an average of 16.54%, thereby more effectively repairing large areas of irregular missing regions, and generating images with clear texture and reasonable structure.

Foundation Support

云南省重大科技专项计划资助项目(202002AC080001)
中国烟草总公司云南省烟草公司科技计划重点项目(2020530000241003,2021530000241012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0123
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Graphic & Image
Pages: 3478-3484
Serial Number: 1001-3695(2023)11-043-3478-07

Publish History

[2023-07-05] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

陈婷, 王通, 张冀武, 等. 基于边缘先验融合动态门控特征的人脸图像修复 [J]. 计算机应用研究, 2023, 40 (11): 3478-3484. (Chen Ting, Wang Tong, Zhang Jiwu, et al. Face image inpainting algorithm based on edge prior fusion dynamic gating features [J]. Application Research of Computers, 2023, 40 (11): 3478-3484. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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