ConNeCT: weakly supervised corneal confocal microscopy image inpainting network based on a diffusion model. [PDF]
Biomed Opt ExpressQiao Q, Hou X.
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Image Inpainting Using Two-Stage Loss Function and Global and Local Markovian Discriminators. [PDF]
Sensors (Basel), 2020 Li C, He K, Liu K, Ma X.
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Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series. [PDF]
Sci RepNoufel S +3 more
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On the image inpainting problem from the viewpoint of a nonlocal Cahn-Hilliard type equation. [PDF]
J Adv Res, 2020 Brkić AL, Mitrović D, Novak A.
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The Journal of The Institute of Image Information and Television Engineers, 2017 openaire +2 more sources
Image Inpainting Forgery Detection: A Review. [PDF]
J ImagingBarglazan AA, Brad R, Constantinescu C.
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Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting. [PDF]
Sci RepCao Y +6 more
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Reconstruction of the Chemical Gas Concentration Distribution Using Partial Convolution-Based Image Inpainting. [PDF]
Sensors (Basel)Kang M, Son J, Lee B, Nam H.
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Face inpainting based on edge confrontation combined with hierarchical gated convolution
Journal of Measurement Science and InstrumentationAiming at the problems of edge blur and distortion in the current damaged face image inpainting, a two-stage hierarchical gated convolutional network(HGCN) was proposed and then combined with edge adversarial network for face image inpainting.
ZHAI Fengwen +3 more
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An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet. [PDF]
Sci RepHe S +7 more
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