Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

A number of pattern recognition tasks,\textit {eg}, face verification, can be boiled down to
classification or clustering of unit length directional feature vectors whose distance can be …

We propose a learned image-guided rendering technique that combines the benefits of
image-based rendering and GAN-based image synthesis. The goal of our method is to …

This paper aims to remove specular highlights from a single object-level image. Although
previous methods have made some progresses, their performance remains somewhat …

We propose a sparse and low-rank reflection model for specular highlight detection and
removal using a single input image. This model is motivated by the observation that the …

This paper proposes a novel pipeline to estimate a non-parametric environment map with
high dynamic range from a single human face image. Lighting-independent and-dependent …

Removing specular highlight in an image is a fundamental research problem in computer
vision and computer graphics. While various methods have been proposed, they typically do …

Separating reflection components is a fundamental problem in computer vision and useful
for many applications such as image quality. We propose a novel method that improves the …

Significance Melanin and hemoglobin have been measured as important diagnostic
indicators of facial skin conditions for aesthetic and diagnostic purposes. Commercial …

A wavelet-transform-based highlight suppression method is presented, aiming at
suppressing the highlights of single image with complex texture. The strategy involves the …