Multi-Step Structure Image Inpainting Model with Attention Mechanism [PDF]
Sensors, 2023 The proliferation of deep learning has propelled image inpainting to an important research field. Although the current image inpainting model has made remarkable achievements, the two-stage image inpainting method is easy to produce structural errors in ...
Cai Ran, Xinfu Li, Fang Yang
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Image inpainting algorithm based on double curvature-driven diffusion model with P-Laplace operator. [PDF]
PLoS ONEThe method of partial differential equations for image inpainting achieves better repair results and is economically feasible with fast repair time. Addresses the inability of Curvature-Driven Diffusion (CDD) models to repair complex textures or edges ...
Lifang Xiao, Jianhao Wu
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Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning [PDF]
SensorsImage semantics, by revealing rich structural information, provides crucial guidance for image inpainting. However, current semantic-guided inpainting frameworks generally operate unidirectionally, relying on pre-trained segmentation networks without a ...
Xueyi Ye +4 more
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An Automatic Image Inpainting Algorithm Based on FCM [PDF]
The Scientific World Journal, 2014 There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm ...
Jiansheng Liu +3 more
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Survey of Research on Image Inpainting Methods [PDF]
Jisuanji kexue yu tansuo, 2022 Image inpainting refers to restoring the pixels in damaged areas of an image to make them as consistent as possible with the original image. Image inpainting is not only crucial in the computer vision tasks, but also serves as an important cornerstone of
LUO Haiyin, ZHENG Yuhui
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Face Inpainting Algorithm Combining Edge Information with Gated Convolution
Jisuanji kexue yu tansuo, 2021 For the face inpainting under arbitrary shape occlusion, the existing methods are easy to produce edge blur and distortion of the inpainting results. In this paper, an algorithm for face inpainting combining edge information with gated convolution is ...
WANG Fuping, LI Wenlou, LIU Ying, LU Jin, GONG Yanchao
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A Review of Image Inpainting Methods Based on Deep Learning
Applied Sciences, 2023 Image Inpainting is an age-old image processing problem, with people from different eras attempting to solve it using various methods. Traditional image inpainting algorithms have the ability to repair minor damage such as scratches and wear.
Zishan Xu +6 more
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Face Image Inpainting with Generative Adversarial Network [PDF]
Jisuanji kexue, 2021 Face image inpainting is a hot topic of image processing research in recent years.Due to the loss of excessive sematic information,it is a difficult problem to inpaint large area missing of face images.Aiming at the problem of inpainting face images,a ...
LIN Zhen-xian, ZHANG Meng-kai, WU Cheng-mao, ZHENG Xing-ning
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An adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimation [PDF]
Компьютерная оптика, 2019 Image inpainting is a process of filling missing and damaged parts of image. By using the Mumford-Shah image model, the image inpainting can be formulated as a constrained optimization problem.
Dang Ngoc Hoang Thanh +3 more
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Image Inpainting Based on Interactive Separation Network and Progressive Reconstruction Algorithm
IEEE Access, 2022 Recently, learning-based image inpainting has gained much attention. It widely utilizes an auto-encoder structure and can obtain compact feature representation in the encoder to achieve high-quality image inpainting.
Jun Gong +6 more
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