Existing deep learning based matting algorithms primarily resort to high-level semantic
features to improve the overall structure of alpha mattes. However, we argue that advanced …

Image matting refers to extracting precise alpha matte from natural images, and it plays a
critical role in various downstream applications, such as image editing. Despite being an ill …

The reflection superposition phenomenon is complex and widely distributed in the real
world, which derives various simplified linear and nonlinear formulations of the problem. In …

Removing undesirable reflections from a single image captured through a glass window is
of practical importance to visual computing systems. Although state-of-the-art methods can …

Images captured through the glass often consist of undesirable specular reflections. These
reflections detected in front of the glass remarkably reduce the quality and visibility of the …

Glass is very common in our daily life. Existing computer vision systems neglect it and thus
may have severe consequences, eg, a robot may crash into a glass wall. However, sensing …

We address the problem of removing undesirable reflections from a single image captured
through a glass surface, which is an ill-posed, challenging but practically important problem …

Reflections often obstruct the desired scene when taking photos through glass panels.
Removing unwanted reflection automatically from the photos is highly desirable. Traditional …

This paper studies the problem of language-guided reflection separation which aims at
addressing the ill-posed reflection separation problem by introducing language descriptions …

Single image reflection separation (SIRS), as a representative blind source separation task,
aims to recover two layers, $\textit {ie} $, transmission and reflection, from one mixed …