Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

The most image inpainting algorithms often have existed problems such as blurred image,
texture distortion and semantic inaccuracy, and the image inpainting effect is limited for …

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

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 …

Our everyday lives are filled with occlusions that we strive to see through. By aggregating
desired background information from different viewpoints, we can easily eliminate such …

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 major task of reflection removal methods is to restore a reflection-free image from a
reflection-contaminated image taken through glass. We propose an algorithm to remove …

Deep neural networks (DNN) have shown great success in many computer vision
applications. However, they are also known to be susceptible to backdoor attacks. When …

In this paper, we introduce L-DiffER, a language-based diffusion model designed for the ill-
posed single image reflection removal task. Although having shown impressive performance …

The problem of cross-domain face recognition aims to identify facial images obtained across
different domains, which attracts increasing attentions because of its wide applications on …