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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 TitleRepository
REN12.7Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation-
REN15.6Towards Good Practices for Deep 3D Hand Pose Estimation-
A2J Transformer8.43A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image-
DeepPrior++12.3DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation-
A2J8.61A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image-
PixelwiseRegression9.173Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder-
Teacher-Student8.01Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training-
DePOTR7.85MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
TriHorn-Net7.68TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation-
Pose-REN11.8Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation-
V2V-PoseNet8.42V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map-
AWR7.48AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation-
SHPR-Net9.37SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds-
Virtual View Selection6.4Efficient Virtual View Selection for 3D Hand Pose Estimation-
Dense Pixel-wise Estimation10.2Dense 3D Regression for Hand Pose Estimation-
MuTr - Full-Scene Image8.71MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
HandFoldingNet8.58HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton-
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Hand Pose Estimation On Nyu Hands | SOTA | HyperAI