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 110 of 665 papers

TitleStatusHype
Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images0
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs0
PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose EstimationCode0
Learning Pyramid-structured Long-range Dependencies for 3D Human Pose EstimationCode0
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction0
PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose EstimationCode1
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation0
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware TransformerCode0
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PyMAFAverage MPJPE-PA (mm)82.85Unverified
2LGDAverage MPJPE-PA (mm)81.14Unverified
3ROMPAverage MPJPE-PA (mm)75.19Unverified
4FastMETRO-LAverage MPJPE-PA (mm)72.68Unverified
5PAREAverage MPJPE-PA (mm)72.2Unverified
6GLAMRAverage MPJPE-PA (mm)71.01Unverified
7CLIFFAverage MPJPE-PA (mm)68.8Unverified
8FastMETRO-L no SMPL HeadAverage MPJPE-PA (mm)66.79Unverified
9HybrIKAverage MPJPE-PA (mm)65.59Unverified
10BioPoseAverage MPJPE-PA (mm)52.1Unverified