Matting refers to the problem of accurate foreground estimation in images and video. It is
one of the key techniques in many image editing and film production applications, thus has …

Image matting refers to extracting precise alpha matte from natural images, and it plays a
critical role in various downstream applications, such as image editing. Despite being an ill …

We propose a method for creating a matte-the per-pixel foreground color and alpha-of a
person by taking photos or videos in an everyday setting with a handheld camera. Most …

Existing deep learning based matting algorithms primarily resort to high-level semantic
features to improve the overall structure of alpha mattes. However, we argue that advanced …

Manually annotating object bounding boxes is central to building computer vision datasets,
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …

Natural image matting is an important problem in computer vision and graphics. It is an ill-
posed problem when only an input image is available without any external information …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

We propose an automatic image matting method for portrait images. This method does not
need user interaction, which was however essential in most previous approaches. In order …

Extracting accurate foregrounds from natural images benefits many downstream
applications such as film production and augmented reality. However, the furry …

This paper proposes to apply the nonlocal principle to general alpha matting for the
simultaneous extraction of multiple image layers; each layer may have disjoint as well as …