We study the problem of few-shot physically-aware articulated mesh generation. By
observing an articulated object dataset containing only a few examples, we wish to learn a …

Reconstructing both objects and hands in 3D from a single RGB image is complex. Existing
methods rely on manually defined hand-object constraints in Euclidean space, leading to …

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 …

This paper addresses the task of 3D pose estimation for a hand interacting with an object
from a single image observation. When modeling hand-object interaction, previous works …

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

The physical properties of an object, such as mass, significantly affect how we manipulate it
with our hands. Surprisingly, this aspect has so far been neglected in prior work on 3D …

The research topic of estimating hand pose from the images of hand-object interaction has
the potential for replicating natural hand behavior in many practical applications of virtual …

The credibility and practicality of a reconstructed hand-object interaction sequence depend
largely on its physical plausibility. However due to high occlusions during hand-object …

Various heuristic objectives for modeling hand-object interaction have been proposed in
past work. However, due to the lack of a cohesive framework, these objectives often possess …

Hand pose and shape estimation plays an important role in numerous applications. A cost-
effective and practical-friendly approach is to perform accurate hand estimation from a single …