Search Results for author:
Found 4 papers, 2 papers with code
Contrastive Representation Learning for Hand Shape Estimation
This work presents improvements in monocular hand shape estimation by building on top of recent advances in unsupervised learning.
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
We show that methods trained on our dataset consistently perform well when tested on other datasets.
Ranked #8 on
3D Hand Pose Estimation
on FreiHAND
3D Human Pose Estimation in RGBD Images for Robotic Task Learning
We propose an approach to estimate 3D human pose in real world units from a single RGBD image and show that it exceeds performance of monocular 3D pose estimation approaches from color as well as pose estimation exclusively from depth.
Ranked #14 on
3D Human Pose Estimation
on Total Capture
Learning to Estimate 3D Hand Pose from Single RGB Images
Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images.
