The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …

The most image inpainting algorithms often have existed problems such as blurred image,
texture distortion and semantic inaccuracy, and the image inpainting effect is limited for …

The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …

In this paper, we propose an Effective and lightweight Transformer for image shadow
detection and removal named SpA-Former to recover a shadow-free image from a single …

Face inpainting, the technique of restoring missing or damaged regions in facial images, is
pivotal for applications like face recognition in occluded scenarios and image analysis with …

As face masks continue to be a part of our daily lives, the challenge of reconstructing
occluded faces remains relevant. While several approaches have been proposed for …

Face masks pose challenges for face recognition due to missing features. Current methods
primarily rely on inpainting and reconstruction to improve recognition, but reconstructed …

Realistic image restoration with high texture areas such as removing face masks is
challenging. The state-of-the-art deep learning-based methods fail to guarantee high-fidelity …

Image-to-image translation has become a prominent trend in the field of computer vision.
This innovative technique is widely employed for generating concealed facial features from …

The past years of COVID-19 have attracted researchers to carry out benchmark work in face
mask detection. However, the existing work does not focus on the problem of reconstructing …