Neural implicit methods have achieved high-quality 3D object surfaces under slight specular
highlights. However, high specular reflections (HSR) often appear in front of target objects …

We propose a simple yet effective reflection-free cue for robust reflection removal from a pair
of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image …

This research focuses on the issue of single-image reflection removal (SIRR) in real-world
conditions examining it from two angles: the collection pipeline of real reflection pairs and …

Addressing the challenge of removing reflections from images captured through glass
surfaces holds significant importance across various practical applications. Existing methods …

In this paper we study a new problem Film Removal (FR) which attempts to remove the
interference of wrinkled transparent films and reconstruct the original information under films …

The existing methods for reflection removal mainly focus on removing blurry and weak
reflection artifacts and thus often fail to work with severe and strong reflection artifacts …

Deep learning based methods have achieved significant success in the task of single image
reflection removal (SIRR). However, the majority of these methods are focused on High …

How to model the effect of reflection is crucial for single image reflection removal (SIRR)
task. Modern SIRR methods usually simplify the reflection formulation with the assumption of …

Reflection removal has been discussed for more than decades. This paper aims to provide
the analysis for different reflection properties and factors that influence image formation, an …

Single image reflection removal is a severely ill-posed problem and it is very hard to
separate the desirable transmission and undesirable reflection layers. Most of the existing …