3D Hand Pose Estimation
36 papers with code • 1 benchmarks • 13 datasets
Image: Zimmerman et l
Benchmarks
These leaderboards are used to track progress in 3D Hand Pose Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find 3D Hand Pose Estimation models and implementationsDatasets
FreiHAND
HO-3D
AGORA
3D Hand Pose
InterHand2.6M
First-Person Hand Action Benchmark
DexYCB
EgoDexter
SynthHands
Most implemented papers
Learning to Estimate 3D Hand Pose from Single RGB Images
lmb-freiburg/hand3d
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ICCV 2017
Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images.
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
mks0601/V2V-PoseNet_RELEASE
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CVPR 2018
To overcome these weaknesses, we firstly cast the 3D hand and human pose estimation problem from a single depth map into a voxel-to-voxel prediction that uses a 3D voxelized grid and estimates the per-voxel likelihood for each keypoint.
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map.
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
mks0601/V2V-PoseNet_RELEASE
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CVPR 2018
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
End-to-end Hand Mesh Recovery from a Monocular RGB Image
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.
3D Hand Shape and Pose Estimation from a Single RGB Image
3d-hand-shape/hand-graph-cnn
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CVPR 2019
This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image.
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
hongsukchoi/Pose2Mesh_RELEASE
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ECCV 2020
Most of the recent deep learning-based 3D human pose and mesh estimation methods regress the pose and shape parameters of human mesh models, such as SMPL and MANO, from an input image.
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
open-mmlab/mmpose
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ECCV 2020
Therefore, we firstly propose (1) a large-scale dataset, InterHand2. 6M, and (2) a baseline network, InterNet, for 3D interacting hand pose estimation from a single RGB image.
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
3D hand pose estimation and shape recovery are challenging tasks in computer vision.
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.
