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Architecture Search for Image Inpainting
2019Neural Architecture Search (NAS) shows the ability to automate the architecture engineering for specific tasks recently which is extremely promising. Many published works apply reinforcement learning or evolutionary algorithm to design the neural architecture for image classification and achieve state-of-the-art performance.
Yaoman Li, Irwin King
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FFTI: Image inpainting algorithm via features fusion and two-steps inpainting
Journal of Visual Communication and Image Representation, 2023Zhaoliang Chen
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Diverse image inpainting with disentangled uncertainty
Pattern Recognition, 2023Wentao Wang, Li Niu, Jianfu Zhang
exaly
Image Inpainting With Local and Global Refinement
IEEE Transactions on Image Processing, 2022Weize Quan, Ruisong Zhang, Yong Zhang
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Multistage attention network for image inpainting
Pattern Recognition, 2020Ning Wang, Sihan Ma, Lefei Zhang
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IID-Net: Image Inpainting Detection Network via Neural Architecture Search and Attention
IEEE Transactions on Circuits and Systems for Video Technology, 2022Haiwei Wu, Jiantao Zhou
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Segmentation and inpainting of color images
2018In the paper, a variational model for both segmentation and inpainting of 2-dimensional color images under Dirichlet boundary condition is introduced and studied. The model consists in the minimization of Black-Zisserman like functional (see, the authors' work [Ann. Sc. Norm. Super. Pisa, Cl. Sci., IV. Ser. 25, No. 1--2, 257--285 (1997; Zbl 1015.49010)]
M. Carriero, A. Leaci, F. Tomarelli:
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