3D Hand Pose Estimation
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Benchmarks
Most implemented
End-to-end Recovery of Human Shape and Pose
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
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Papers
HandMvNet: Real-Time 3D Hand Pose Estimation Using Multi-View Cross-Attention Fusion
In this work, we present HandMvNet, one of the first real-time method designed to estimate 3D hand motion and shape from multi-view camera images. Unlike previous monocular approaches, which suffer from scale-depth ambig…
3D Hand Pose EstimationREACH: Hand Pose Estimation from Room Corners
We introduce a novel 3D hand pose estimator that can accurately recover the shape and pose of people's hands in a room from afar, typically from fixed cameras at room corners, in extremely low-resolution and frequently o…
3D Hand Pose EstimationRethinking Graph Convolution for 2D-to-3D Hand Pose Lifting
Graph convolutional networks (GCNs) are widely used for 3D hand pose estimation, where the hand skeleton is encoded as a fixed adjacency graph. We revisit whether this is the most effective way to incorporate hand topolo…
3D Hand Pose EstimationEgoEV-HandPose: Egocentric 3D Hand Pose Estimation and Gesture Recognition with Stereo Event Cameras
Egocentric 3D hand pose estimation and gesture recognition are essential for immersive augmented/virtual reality, human-computer interaction, and robotics. However, conventional frame-based cameras suffer from motion blu…
3D Hand Pose EstimationGesture RecognitionAnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
We present AnyHand, a large-scale synthetic dataset designed to advance the state of the art in 3D hand pose estimation. While recent works with foundation approaches have shown that scaling training data markedly improv…
3D Hand Pose EstimationGesture-Aware Pretraining and Token Fusion for 3D Hand Pose Estimation
Estimating 3D hand pose from monocular RGB images is fundamental for applications in AR/VR, human-computer interaction, and sign language understanding. In this work we focus on a scenario where a discrete set of gesture…
3D Hand Pose Estimation3D Pose Estimation