An Analysis of Generative Methods for Multiple-Image Inpainting
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 …
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 …
以上显示的是最相近的搜索结果。 查看全部搜索结果