High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

We present SfSNet, an end-to-end learning framework for producing an accurate
decomposition of an unconstrained human face image into shape, reflectance and …

A key challenge of learning the geometry of dressed humans lies in the limited availability of
the ground truth data (eg, 3D scanned models), which results in the performance …

Reconstructing the detailed geometric structure of a face from a given image is a key to
many computer vision and graphics applications, such as motion capture and reenactment …

Fast and robust three-dimensional reconstruction of facial geometric structure from a single
image is a challenging task with numerous applications. Here, we introduce a learning …

With medical endoscopic equipment development, minimally invasive surgery (MIS) has
gradually become an essential technical means in daily medical practice. In recent years …

Coarse depth maps can be enhanced by using the shape information from polarization
cues. We propose a framework to combine surface normals from polarization (hereafter …

This paper presents a novel framework to recover detailed human body shapes from a
single image. It is a challenging task due to factors such as variations in human shapes …

This article proposes a real-time method that uses a single-view RGB-D input (a depth
sensor integrated with a color camera) to simultaneously reconstruct a casual scene with a …