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Hand Pose Estimation On Nyu Hands

Metrics

Average 3D Error

Results

Performance results of various models on this benchmark

Model Name	Average 3D Error	Paper Title	Repository
REN	12.7	Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation	-
REN	15.6	Towards Good Practices for Deep 3D Hand Pose Estimation	-
A2J Transformer	8.43	A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
DeepPrior++	12.3	DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
A2J	8.61	A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
PixelwiseRegression	9.173	Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder
Teacher-Student	8.01	Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training	-
DePOTR	7.85	MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
TriHorn-Net	7.68	TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation	-
Pose-REN	11.8	Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
V2V-PoseNet	8.42	V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
AWR	7.48	AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
SHPR-Net	9.37	SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds	-
Virtual View Selection	6.4	Efficient Virtual View Selection for 3D Hand Pose Estimation
Dense Pixel-wise Estimation	10.2	Dense 3D Regression for Hand Pose Estimation
MuTr - Full-Scene Image	8.71	MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
HandFoldingNet	8.58	HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

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