This paper proposes a novel location-aware deep-learning-based single image reflection
removal method. Our network has a reflection detection module to regress a probabilistic …

We present a novel formulation to removing reflection from polarized images in the wild. We
first identify the misalignment issues of existing reflection removal datasets where the …

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 …

In this paper, we consider the absorption effect for the problem of single image reflection
removal. We show that the absorption effect can be numerically approximated by the …

While Transformer has achieved remarkable performance in various high-level vision tasks,
it is still challenging to exploit the full potential of Transformer in image restoration. The crux …

While Transformer has achieved remarkable performance in various high-level vision tasks,
it is still challenging to exploit the full potential of Transformer in image restoration. The crux …

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

Restoring the clean background from the superimposed images containing a noisy layer is
the common crux of a classical category of tasks on image restoration such as image …

We introduce a simple yet effective approach for separating transmitted and reflected light.
Our key insight is that the powerful novel view synthesis capabilities provided by modern …

The incident light reflected from the cornea is rich in information about the human
surroundings, and these reflected rays are imaged by the camera, which can be used for …