Hand Pose Estimation
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Benchmarks
NYU Hands
ICVL Hands
MSRA Hands
HANDS 2017
HANDS 2019
COCO-WholeBody
3DPW
Custom FINNgers
ICVL
K2HPD
Most implemented
Learning from Simulated and Unsupervised Images through Adversarial Training
Learning to Estimate 3D Hand Pose from Single RGB Images
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Papers
Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
Hand Pose Estimation (HPE) is a fundamental technology for various applications such as AR/VR and robotics. In these applications, the visibility of each hand joint in the image is crucial for assessing the reliability o…
Hand Pose EstimationScaleHP: Scale-Mediated Optimization of Coupled Errors for Metric-Space Hand Pose Estimation
In this paper, we present ScaleHP, a unified framework that explicitly represents per-instance metric scale to resolve the coupled errors in calibrated camera-space hand pose estimation. Under the common root-relative-to…
Hand Pose EstimationGeometric Reconstruction of Extrinsic Contact Trajectories using Tactile Sensing and Proprioception for Tool Manipulation
Tactile sensing enables robots to perceive rich contact information at the grasp, supporting tasks such as object recognition, in-hand pose estimation, and slip detection. However, in many tool-mediated manipulation task…
Hand Pose EstimationObject RecognitionImpact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications
Mixed reality applications can be designed for hand rehabilitation. Augmented reality (AR) head mounted displays (HMDs) specifically allow for ecologically valid tasks because individuals can see their real environment a…
Hand Pose EstimationMonoDuo: Using One Robot Arm to Learn Bimanual Policies
Bimanual coordination is essential for many real-world manipulation tasks, yet learning bimanual robot policies is limited by the scarcity of bimanual robots and datasets. Single-arm robots, however, are widely available…
Point Cloud SegmentationHand Pose EstimationUST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation
Manually annotating accurate 3D hand poses is extremely time-consuming and labor-intensive. Existing self-supervised hand pose estimation methods leverage the discrepancy between input images and rendered outputs, or mul…
Self-Supervised LearningHand Pose Estimation