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 501510 of 665 papers

TitleStatusHype
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation0
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities0
Learning to Estimate 3D Human Pose and Shape from a Single Color Image0
Learning to Estimate 3D Human Pose from Point Cloud0
Learning Unorthogonalized Matrices for Rotation Estimation0
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video0
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds0
LiftFormer: 3D Human Pose Estimation using attention models0
Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose Estimation0
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning0
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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