SOTAVerified

3D Multi-Person Pose Estimation

This task aims to solve root-relative 3D multi-person pose estimation. No human bounding box and root joint coordinate groundtruth are used in testing time.

( Image credit: RootNet )

Papers

Showing 110 of 62 papers

TitleStatusHype
Multi-person Physics-based Pose Estimation for Combat Sports0
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a MillisecondCode0
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single ShotCode3
Instance-aware Contrastive Learning for Occluded Human Mesh ReconstructionCode1
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction0
Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild0
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the WildCode1
A Unified Multi-view Multi-person Tracking Framework0
Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR0
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and RefinementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BMPAverage MPJPE (mm)135.4Unverified
2InstanceHMRAverage MPJPE (mm)126.1Unverified
3SMAPAverage MPJPE (mm)61.8Unverified
4VirtualPoseAverage MPJPE (mm)58.9Unverified
5GR-M3DAverage MPJPE (mm)57.9Unverified
6DASAverage MPJPE (mm)53.8Unverified
7HMORAverage MPJPE (mm)51.6Unverified
8MVGAverage MPJPE (mm)50Unverified
9PIRNAverage MPJPE (mm)49.8Unverified
10IVT (f=5)Average MPJPE (mm)48.4Unverified