SOTAVerified

Hand Pose Estimation

Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.

( Image credit: Pose-REN )

Papers

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Showing 1–10 of 260 papers

TitleStatusHype
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs—0
Monocular 3D Hand Pose Estimation with Implicit Camera AlignmentCode1
EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction—0
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery—0
OccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation—0
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose EstimationCode1
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-trainingCode1
EgoHand: Ego-centric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMUsCode1
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation—0
HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos—0
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All datasetsNYU HandsICVL HandsMSRA HandsHANDS 2017HANDS 20193DPWCustom FINNgersICVLK2HPD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VanoraAverage 3D Error11.91—Unverified
2Pose-RENAverage 3D Error11.7—Unverified
3OasisAverage 3D Error11.3—Unverified
4PixelwiseRegressionAverage 3D Error10.57—Unverified
5RCN-3DAverage 3D Error9.97—Unverified
6V2V-PoseNetAverage 3D Error9.95—Unverified
7A2JAverage 3D Error8.57—Unverified
8V2V-NTISAverage 3D Error7.51—Unverified
9AWRAverage 3D Error7.48—Unverified