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Hand Pose Estimation On Nyu Hands

Métriques

Average 3D Error

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
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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