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
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
Extracting keypoint locations from input hand frames, known as 3D hand pose estimation, is a critical task in various human-computer interaction applications.
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
These two stereo constraints are used in a complementary manner to generate pseudo-labels, allowing reliable adaptation.
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
These representations are typically explicit, such as 3D point clouds or meshes, and thus provide information in the direct surroundings of the intermediate hand pose estimate.
3D-LFM: Lifting Foundation Model
The lifting of 3D structure and camera from 2D landmarks is at the cornerstone of the entire discipline of computer vision.
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
jkpark0825/eanet
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Our two novel tokens are from a combination of separated two hand features; hence, it is much more robust to the distant token problem.
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
The surgical usage of Mixed Reality (MR) has received growing attention in areas such as surgical navigation systems, skill assessment, and robot-assisted surgeries.
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
zhehengjianglancaster/amvur
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CVPR 2023
The experimental results demonstrate our probabilistic model's state-of-the-art accuracy in 3D hand and texture reconstruction from a single image in both training schemes, including in the presence of severe occlusions.
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
pengfeiren96/dir
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ICCV 2023
On the other hand, there are complex spatial relationship between interacting hands, which significantly increases the solution space of hand poses and increases the difficulty of network learning.
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
Recent advancements in 3D hand pose estimation have shown promising results, but its effectiveness has primarily relied on the availability of large-scale annotated datasets, the creation of which is a laborious and costly process.
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation
Notably, the performance of our model on hand pose estimation even surpasses that of existing works that only perform the single-hand pose estimation task.
