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 311320 of 665 papers

TitleStatusHype
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction0
Depth sweep regression forests for estimating 3d human pose from images0
3D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Training0
3D Human Pose Perception from Egocentric Stereo Videos0
Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose Estimation0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB0
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare0
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds0
A review of 3D human pose estimation algorithms for markerless motion capture0
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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