Understanding how two hands interact with each other is a key component ...
Recovering 3D human mesh in the wild is greatly challenging as in-the-wi...
Hands, one of the most dynamic parts of our body, suffer from blur due t...
Despite recent achievements, existing 3D interacting hands recovery meth...
Recently, a few self-supervised representation learning (SSL) methods ha...
We tackle the problem of generating long-term 3D human motion from multi...
Existing neural human rendering methods struggle with a single image inp...
Although much progress has been made in 3D clothed human reconstruction,...
Hands are often severely occluded by objects, which makes 3D hand mesh
e...
Recovering accurate 3D human pose and shape from in-the-wild crowd scene...
Previous 3D human pose and mesh estimation methods mostly rely on only g...
Recovering expressive 3D human pose and mesh from in-the-wild images is
...
Despite the recent success of single image-based 3D human pose and shape...
Analysis of hand-hand interactions is a crucial step towards better
unde...
Most of the recent deep learning-based 3D human pose and mesh estimation...
Human hands play a central role in interacting with other people and obj...
Most of the previous image-based 3D human pose and mesh estimation metho...
Most current action recognition methods heavily rely on appearance
infor...
This study presents a new network (i.e., AbsPoseLifter) that lifts a 2D ...
Although significant improvement has been achieved in 3D human pose
esti...
Multi-person pose estimation from a 2D image is challenging because it
r...
Multi-person pose estimation from a 2D image is an essential technique f...
In this paper, we strive to answer two questions: What is the current st...
Most of the existing deep learning-based methods for 3D hand and human p...
We propose a novel approach to 3D human pose estimation from a single de...