3D Hand Pose Estimation
65 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
Most implemented papers
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
facebookresearch/frankmocap
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To construct FrankMocap, we build the state-of-the-art monocular 3D "hand" motion capture method by taking the hand part of the whole body parametric model (SMPL-X).
Monocular Expressive Body Regression through Body-Driven Attention
To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image.
Active Learning for Bayesian 3D Hand Pose Estimation
We propose a Bayesian approximation to a deep learning architecture for 3D hand pose estimation.
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
mks0601/Hand4Whole_RELEASE
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Using Pose2Pose, Hand4Whole utilizes hand MCP joint features to predict 3D wrists as MCP joints largely contribute to 3D wrist rotations in the human kinematic chain.
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
Due to the different data modality of event cameras compared to classical cameras, existing methods cannot be directly applied to and re-trained for event streams.
End-to-End Human Pose and Mesh Reconstruction with Transformers
We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human pose and mesh vertices from a single image.
Mesh Graphormer
We present a graph-convolution-reinforced transformer, named Mesh Graphormer, for 3D human pose and mesh reconstruction from a single image.
Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation
shreyashampali/kypt_transformer
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CVPR 2022
We propose a robust and accurate method for estimating the 3D poses of two hands in close interaction from a single color image.
Collaborative Regression of Expressive Bodies using Moderation
YadiraF/PIXIE
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Second, human shape is highly correlated with gender, but existing work ignores this.
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning
dahiyaaneesh/peclr
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ICCV 2021
Encouraged by the success of contrastive learning on image classification tasks, we propose a new self-supervised method for the structured regression task of 3D hand pose estimation.
