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An Improved Method for Semantic Image Inpainting with GANs: Progressive Inpainting
Neural Processing Letters, 2018Semantic image inpainting is getting more and more attention due to its increasing usage. Existing methods make inference based on either local data or external information. Generating Adversarial Networks, as a research focus in recent years, has been proven to be useful in inpainting work.
Yizhen Chen, Haifeng Hu 0001
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A Comprehensive Framework for Image Inpainting
IEEE Transactions on Image Processing, 2010Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and very different approaches to tackle the inpainting problem, though as explained in this paper, the most successful algorithms are based upon one or two of the following three basic techniques: copy-and-paste texture synthesis ...
Aurélie Bugeau +3 more
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DeePaste - Inpainting For Pasting
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022Levi Kassel, Michael Werman
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2008
Exemplar-based inpainting techniques demonstrate some advantages in filling both textural and structural images, based upon the simple process of patch sampling and copying. An implicit assumption of such methods is that an exemplar patch could be found for copying.
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Exemplar-based inpainting techniques demonstrate some advantages in filling both textural and structural images, based upon the simple process of patch sampling and copying. An implicit assumption of such methods is that an exemplar patch could be found for copying.
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Feature pre-inpainting enhanced transformer for video inpainting
Engineering Applications of Artificial Intelligence, 2023Guanxiao Li +3 more
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DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting
Pattern Recognition, 2022Xiaojie Li
exaly
FFTI: Image inpainting algorithm via features fusion and two-steps inpainting
Journal of Visual Communication and Image Representation, 2023Zhaoliang Chen
exaly