Illumination estimation from a single image is critical in 3D rendering and it has been
investigated extensively in the computer vision and computer graphic research community …

Accurate lighting estimation is challenging yet critical to many computer vision and computer
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …

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

We introduce OpenIllumination, a real-world dataset containing over 108K images of 64
objects with diverse materials, captured under 72 camera views and a large number of …

Inferring the scene illumination from a single image is an essential yet challenging task in
computer vision and computer graphics. Existing works estimate lighting by regressing …

Relighting is an essential step in realistically transferring objects from a captured image into
another environment. For example, authentic telepresence in Augmented Reality requires …

Although much progress has been made towards robust deep learning, a significant gap in
robustness remains between real-world perturbations and more narrowly defined sets …

Separating an image into meaningful underlying components is a crucial first step for both
editing and understanding images. We present a method capable of selecting the regions of …

Specular highlight detection and removal is a fundamental problem in computer vision and
image processing. In this paper, we present an efficient end-to-end deep learning model for …

We introduce a neural relighting algorithm for captured indoors scenes, that allows
interactive free-viewpoint navigation. Our method allows illumination to be changed …