Restoring old photographs can preserve cherished memories. Previous methods handled
diverse damages within the same network structure, which proved impractical. In addition …

Printed photographs can be easily warped, wrinkled, and even deteriorated over time.
Existing methods treat the restoration of scratches as a pure inpainting problem that neglects …

Removing undesired reflection from an image captured through a glass surface is a very
challenging problem with many practical applications. For improving reflection removal …

Scene text removal (STR), a task of erasing text from natural scene images, has recently
attracted attention as an important component of editing text or concealing private …

Facial image inpainting is a problem that is widely studied, and in recent years the
introduction of Generative Adversarial Networks, has led to improvements in the field …

Existing image stitching approaches based on global or local homography estimation are
not free from the parallax problem and suffer from undesired artifacts. In this paper, instead …

Exposure correction tasks are dedicated to recovering the brightness and structural
information of overexposed or underexposed images. The recovery difficulty of areas with …

In a typical image inpainting task, the location and shape of the damaged or masked area is
often random and irregular. The vanilla convolutions widely used in learning-based …

Although deep learning has enabled a huge leap forward in image inpainting, current
methods are often unable to synthesize realistic high-frequency details. In this paper, we …

Image inpainting is now-a-days sought after due to its wide variety of applications in the
reconstruction of the corrupted image, occlusion removal, reflection removal, etc. Existing …