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Hand Pose Estimation On Icvl Hands

Metrics

Average 3D Error

Results

Performance results of various models on this benchmark

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