3D Hand Pose Estimation
64 papers with code • 5 benchmarks • 16 datasets
Image: Zimmerman et l
Benchmarks
These leaderboards are used to track progress in 3D Hand Pose Estimation
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Libraries
Use these libraries to find 3D Hand Pose Estimation models and implementationsDatasets
FreiHAND
HO-3D
DexYCB
AGORA
InterHand2.6M
ExPose
3D Hand Pose
First-Person Hand Action Benchmark
EgoDexter
SynthHands
Latest papers with no code
Denoising Diffusion for 3D Hand Pose Estimation from Images
Hand pose estimation from a single image has many applications.
Neural Voting Field for Camera-Space 3D Hand Pose Estimation
We present a unified framework for camera-space 3D hand pose estimation from a single RGB image based on 3D implicit representation.
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
To obtain high-quality 3D hand pose annotations for the egocentric images, we develop an efficient pipeline, where we use an initial set of manual annotations to train a model to automatically annotate a much larger dataset.
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
The teacher network is trained using both the available labeled and unlabeled samples.
Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters
Furthermore, we introduce an inverted kinematic(IK) network to translate the estimated hand mesh to a biomechanically feasible set of joint rotation parameters, which is necessary for applications that leverage pose estimation for controlling robotic hands.
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision
Experiments on EvRealHands demonstrate that EvHandPose outperforms previous event-based methods under all evaluation scenes, achieves accurate and stable hand pose estimation with high temporal resolution in fast motion and strong light scenes compared with RGB-based methods, generalizes well to outdoor scenes and another type of event camera, and shows the potential for the hand gesture recognition task.
Cross-Domain 3D Hand Pose Estimation With Dual Modalities
To solve this problem, we present a framework for cross-domain semi-supervised hand pose estimation and target the challenging scenario of learning models from labelled multi-modal synthetic data and unlabelled real-world data.
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction
First, we decouple hand mesh reconstruction into two branches, one to exploit finger-level non-occluded information and the other to exploit global hand orientation, with lightweight structures to promote real-time inference.
HARP: Personalized Hand Reconstruction from a Monocular RGB Video
We present HARP (HAnd Reconstruction and Personalization), a personalized hand avatar creation approach that takes a short monocular RGB video of a human hand as input and reconstructs a faithful hand avatar exhibiting a high-fidelity appearance and geometry.
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
In order to process the multimodal information automatically and use it for an end application, Multimodal Representation Learning (MRL) has emerged as an active area of research in recent times.
