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
1ROS node wrappingAverage MPJPE (mm)112Unverified
2PVHAverage MPJPE (mm)107Unverified
3Tri-CPMAverage MPJPE (mm)99Unverified
4IMUPVHAverage MPJPE (mm)70Unverified
5Single-RPSMAverage MPJPE (mm)41Unverified
6AutoEncAverage MPJPE (mm)35Unverified
7DeepFuse-Vision OnlyAverage MPJPE (mm)32.7Unverified
8MTF-Transformer (M=0.4, T=7)Average MPJPE (mm)29.2Unverified
9Fusion-RPSMAverage MPJPE (mm)29Unverified
10DeepFuse-IMUAverage MPJPE (mm)28.9Unverified