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Hand Pose Estimation On Icvl Hands

Metrics

Average 3D Error

Results

Performance results of various models on this benchmark

Model Name
Average 3D Error
Paper TitleRepository
Dense Pixel-wise Estimation7.3Dense 3D Regression for Hand Pose Estimation-
Virtual View Selection4.79Efficient Virtual View Selection for 3D Hand Pose Estimation-
V2V-PoseNet6.28V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map-
SHPR-Net7.22SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds-
Teacher-Student5.99Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training-
A2J6.461A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image-
Tree Region Ensemble Network7.31Towards Good Practices for Deep 3D Hand Pose Estimation-
TriHorn-Net5.73TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation-
HandFoldingNet5.95HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton-
AWR5.98AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation-
DeepPrior++ 8.1DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation-
REN 7.5Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation-
DePOTR5.98MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
PixelwiseRegression6.152Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder-
Pose-REN6.8Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation-
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Hand Pose Estimation On Icvl Hands | SOTA | HyperAI