SOTAVerified

3D Human Pose Estimation

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

Papers

Showing 271280 of 665 papers

TitleStatusHype
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose EstimationCode1
Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent AnnotationsCode0
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation0
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesCode2
Learning to Estimate External Forces of Human Motion in VideoCode1
Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion PriorCode1
Multi-person 3D pose estimation from a single image captured by a fisheye camera0
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning0
BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation0
Embodied Scene-aware Human Pose Estimation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157Unverified
2HMRMPJPE130Unverified
3BMPMPVPE119.3Unverified
4SPINMPVPE116.4Unverified
5Wenshuo et a;.MPVPE112.6Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5Unverified
7CHOMPMPVPE110.1Unverified
8PC-HMRMPVPE108.6Unverified
93DCrowdNetMPVPE108.5Unverified
10SMPLifyPA-MPJPE106.8Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7Unverified
2HMRMPJPE124.2Unverified
3Single-Shot Multi-PersonMPJPE122.2Unverified
4MehtaMPJPE117.6Unverified
5PONetMPJPE115Unverified
6Pose Consensus (monocular)MPJPE112.1Unverified
7GeoRep (fully-supervised)MPJPE110.8Unverified
8XFormer (HRNet)MPJPE109.8Unverified
9EpipolarPose (fully-supervised)MPJPE108.99Unverified
10SPINMPJPE105.2Unverified