A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

Recent deep learning based image editing methods have achieved promising results for
removing object in an image but fail to generate plausible results for removing large objects …

Nonlocal texture similarity and local intensity smoothness are both essential for solving most
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …

Image inpainting has been presented to complete missing content according to the content
of the known region. This paper proposes a novel and efficient algorithm for image …

Removing a specific object from an image and replacing the hole left behind with visually
plausible backgrounds is a very intriguing task. While recent deep learning based object …

As a popular image manipulation technique, object removal can be achieved by image-
inpainting without any noticeable traces, which poses huge challenges to passive image …

Object removal is a malicious image forgery technique, which is usually achieved by
exemplar-based image inpainting in a visually plausible way. Most existing forgery detection …

Inspired by the fact that the matrix formed by nonlocal similar patches in a natural image is of
low rank, the nuclear norm minimization (NNM) has been widely used in various image …

In this paper, we propose a fast local image inpainting algorithm based on the Allen–Cahn
model. The proposed algorithm is applied only on the inpainting domain and has two …

Image inpainting restores lost or deteriorated parts of images according to the information of
known regions. Criminisi has proposed an effective exemplar-based inpainting method …