SOTAVerified

Hand Pose Estimation

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 )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 260 papers

TitleStatusHype
FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural NetworksCode0
Cross-modal Deep Variational Hand Pose EstimationCode0
Adaptive Graphical Model Network for 2D Handpose EstimationCode0
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose EstimationCode0
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose AnnotationsCode0
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network—0
OccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation—0
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose—0
Parallel mesh reconstruction streams for pose estimation of interacting hands—0
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning—0
Point-to-Point Regression PointNet for 3D Hand Pose Estimation—0
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer—0
Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild—0
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training—0
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering—0
Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction—0
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor—0
Recent Advances in 3D Object and Hand Pose Estimation—0
Reconstructing Hand-Held Objects from Monocular Video—0
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation—0
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images—0
Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs—0
Robust Hand Pose Estimation During the Interaction With an Unknown Object—0
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation—0
Rule Of Thumb: Deep derotation for improved fingertip detection—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting—0
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning—0
SemiHand: Semi-Supervised Hand Pose Estimation With Consistency—0
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation—0
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation—0
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty—0
SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds—0
SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation—0
Silhouette-Net: 3D Hand Pose Estimation from Silhouettes—0
Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image—0
Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation—0
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning—0
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images—0
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image—0
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation—0
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery—0
Towards Good Practices for Deep 3D Hand Pose Estimation—0
Towards Markerless Grasp Capture—0
Training a Feedback Loop for Hand Pose Estimation—0
Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios—0
Two-hand Global 3D Pose Estimation Using Monocular RGB—0
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks—0
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images—0
Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation—0
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All datasetsNYU HandsICVL HandsMSRA HandsHANDS 2017HANDS 20193DPWCustom FINNgersICVLK2HPD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RENAverage 3D Error15.6—Unverified
2RENAverage 3D Error12.7—Unverified
3DeepPrior++Average 3D Error12.3—Unverified
4Pose-RENAverage 3D Error11.8—Unverified
5Dense Pixel-wise EstimationAverage 3D Error10.2—Unverified
6SHPR-NetAverage 3D Error9.37—Unverified
7PixelwiseRegressionAverage 3D Error9.17—Unverified
8MuTr - Full-Scene ImageAverage 3D Error8.71—Unverified
9A2JAverage 3D Error8.61—Unverified
10HandFoldingNetAverage 3D Error8.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepPrior++Average 3D Error8.1—Unverified
2RENAverage 3D Error7.5—Unverified
3Tree Region Ensemble NetworkAverage 3D Error7.31—Unverified
4Dense Pixel-wise EstimationAverage 3D Error7.3—Unverified
5SHPR-NetAverage 3D Error7.22—Unverified
6Pose-RENAverage 3D Error6.8—Unverified
7A2JAverage 3D Error6.46—Unverified
8V2V-PoseNetAverage 3D Error6.28—Unverified
9PixelwiseRegressionAverage 3D Error6.15—Unverified
10Teacher-StudentAverage 3D Error5.99—Unverified
#ModelMetricClaimedVerifiedStatus
1RENAverage 3D Error9.8—Unverified
2DeepPrior++Average 3D Error9.5—Unverified
3Pose-RENAverage 3D Error8.6—Unverified
4PixelwiseRegressionAverage 3D Error7.99—Unverified
5SHPR-NetAverage 3D Error7.76—Unverified
6V2V-PoseNetAverage 3D Error7.49—Unverified
7HandFoldingNetAverage 3D Error7.34—Unverified
8Dense Pixel-wise EstimationAverage 3D Error7.2—Unverified
9Teacher-StudentAverage 3D Error7.18—Unverified
10AWRAverage 3D Error7.15—Unverified
#ModelMetricClaimedVerifiedStatus
1VanoraAverage 3D Error11.91—Unverified
2Pose-RENAverage 3D Error11.7—Unverified
3OasisAverage 3D Error11.3—Unverified
4PixelwiseRegressionAverage 3D Error10.57—Unverified
5RCN-3DAverage 3D Error9.97—Unverified
6V2V-PoseNetAverage 3D Error9.95—Unverified
7A2JAverage 3D Error8.57—Unverified
8V2V-NTISAverage 3D Error7.51—Unverified
9AWRAverage 3D Error7.48—Unverified
#ModelMetricClaimedVerifiedStatus
1AWRAverage 3D Error13.76—Unverified
2HandAugmentAverage 3D Error13.66—Unverified
3Ours-15viewsAverage 3D Error12.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Hand4WholeMPJPE86.6—Unverified
#ModelMetricClaimedVerifiedStatus
1FINNger1:1 Accuracy98—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours-15viewsError (mm)4.76—Unverified
#ModelMetricClaimedVerifiedStatus
1A2JPDJ@5mm76.3—Unverified