3D Hand Pose Estimation
65 papers with code • 5 benchmarks • 16 datasets
Image: Zimmerman et l
Benchmarks
These leaderboards are used to track progress in 3D Hand Pose Estimation
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Libraries
Use these libraries to find 3D Hand Pose Estimation models and implementationsDatasets
FreiHAND
HO-3D
DexYCB
AGORA
InterHand2.6M
ExPose
3D Hand Pose
First-Person Hand Action Benchmark
EgoDexter
H3WB
Most implemented papers
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
zc-alexfan/digit-interacting
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In natural conversation and interaction, our hands often overlap or are in contact with each other.
Hand Image Understanding via Deep Multi-Task Learning
MandyMo/HIU-DMTL
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ICCV 2021
To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
cwc1260/handfold
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ICCV 2021
With increasing applications of 3D hand pose estimation in various human-computer interaction applications, convolution neural networks (CNNs) based estimation models have been actively explored.
Towards unconstrained joint hand-object reconstruction from RGB videos
hassony2/homan
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Our work aims to obtain 3D reconstruction of hands and manipulated objects from monocular videos.
Multi-View Video-Based 3D Hand Pose Estimation
Recent works have shown that videos or multi-view images carry rich information regarding the hand, allowing for the development of more robust HPE systems.
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
SeanChenxy/HandMesh
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CVPR 2022
In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence.
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
shichengchen/multiviewdataset
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This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image.
Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation
However, these methods ignore the rich semantic information in each view and ignore the complex dependencies between different regions of different views.
Efficient Virtual View Selection for 3D Hand Pose Estimation
iscas3dv/handpose-virtualview
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3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications. However, the existing methods still can not achieve satisfactory hand pose estimation results due to view variation and occlusion of human hand.
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
The second innovation is PixDropout, which is, to the best of our knowledge, the first appearance-based data augmentation method for hand depth images.
