As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Learning 3D models of all animals in nature requires massively scaling up existing
solutions. With this ultimate goal in mind we develop 3D-Fauna an approach that learns a …

This work focuses on the 3D reconstruction of non-rigid objects based on monocular RGB
video sequences. Concretely, we aim at building high-fidelity models for generic object …

Faithful human performance capture and free-view rendering from sparse RGB observations
is a long-standing problem in Vision and Graphics. The main challenges are the lack of …

We introduce SAOR a novel approach for estimating the 3D shape texture and viewpoint of
an articulated object from a single image captured in the wild. Unlike prior approaches that …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Existing methods for 3D tracking from monocular RGB videos predominantly consider
articulated and rigid objects (eg, two hands or humans interacting with rigid environments) …

Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on
novel-view synthesis and neglect correspondences. However, time consistency enables …

Abstract 3D reconstruction of dynamic scenes is a long-standing problem in computer
graphics and increasingly difficult the less information is available. Shape-from-Template …

3D hand tracking from a monocular video is a very challenging problem due to hand
interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods …