Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …

Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …

Image restoration is a challenging ill-posed problem which also has been a long-standing
issue. In the past few years, the convolution neural networks (CNNs) almost dominated the …

Low-Light Image Enhancement is a computer vision task which intensifies the dark images
to appropriate brightness. It can also be seen as an illposed problem in image restoration …

Thanka murals are important cultural heritages of Tibet, but many precious murals were
damaged during history. Thanka mural restoration is very important for the protection of …

Image restoration is a low-level vision task which is to restore degraded images to noise-free
images. With the success of deep neural networks, the convolutional neural networks …

The aim of image inpainting is to fill in damaged areas according to certain rules based on
information about the adjacent positions of missing areas and the overall structure of the …

Inpainting has been continuously studied in the field of computer vision. As artificial
intelligence technology developed, deep learning technology was introduced in inpainting …

摘要图像缺损修复研究旨在通过计算机自动修复图像中的缺损内容. 近年来,
深度神经网络技术的出现有效促进了相关研究的发展. 本文针对该类研究进行了系统梳理和综合 …

With the gradually increasing demand for high-resolution images, image super-resolution
(SR) technology has become more and more important in our daily life. In general, high …