Hand Pose Estimation
87 papers with code • 10 benchmarks • 22 datasets
Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
( Image credit: Pose-REN )
Benchmarks
These leaderboards are used to track progress in Hand Pose Estimation
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Libraries
Use these libraries to find Hand Pose Estimation models and implementationsDatasets
3DPW
RHD
InterHand2.6M
COCO-WholeBody
ICVL
NYU Hand
MSRA Hand
First-Person Hand Action Benchmark
EgoDexter
Latest papers with no code
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks
This work addresses the intersection of hands by exploiting an occupancy network that represents the hand's volume as a continuous manifold.
DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation
Recently, dense regression methods have attracted increasing attention in 3D hand pose estimation task, which provide a low computational burden and high accuracy regression way by densely regressing hand joint offset maps.
ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Image
In this work, we present ThermoHands, a new benchmark for thermal image-based egocentric 3D hand pose estimation, aimed at overcoming challenges like varying lighting and obstructions (e. g., handwear).
A Simple Baseline for Efficient Hand Mesh Reconstruction
3D hand pose estimation has found broad application in areas such as gesture recognition and human-machine interaction tasks.
EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion
The learned fusion module integrates event streams with image features in the form of a plug-in, endowing the RGB-based model to be robust to HDR and fast motion scenes while enabling high temporal resolution inference.
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
Therefore, we develop a generative motion prior specific for hands, trained on the AMASS dataset which features diverse and high-quality hand motions.
3D Hand Pose Estimation in Egocentric Images in the Wild
We present WildHands, a method for 3D hand pose estimation in egocentric images in the wild.
Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
In this work, we explore egocentric whole-body motion capture using a single fisheye camera, which simultaneously estimates human body and hand motion.
Mesh Represented Recycle Learning for 3D Hand Pose and Mesh Estimation
To this end, we propose a mesh represented recycle learning strategy for 3D hand pose and mesh estimation which reinforces synthesized hand mesh representation in a training phase.
1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop.
