An Analysis of Generative Methods for Multiple-Image Inpainting

C Ballester, A Bugeau, S Hurault, S Parisotto… - … of Mathematical Models …, 2022 - Springer
Image inpainting refers to the restoration of an image with missing regions in a way that is
not detectable by the observer. The inpainting regions can be of any size and shape. This is
an ill-posed inverse problem that does not have a unique solution. In this work, we focus on
learning-based image completion methods for multiple and diverse inpainting which goal is
to provide a set of distinct solutions for a given damaged image. These methods capitalize
on the probabilistic nature of certain deep generative models to sample various solutions …

[引用][C] An Analysis of Generative Methods for Multiple-Image Inpainting

B Coloma, B Aurelie, H Samuel, P Simone… - … of Mathematical Models …, 2022 - hal.science
An Analysis of Generative Methods for Multiple-Image Inpainting - Archive ouverte HAL …
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