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
1RapidPoseTriangulation (with corrected labels)PCP3D100Unverified
2Feiz et al. (Kinematics)PCP3D98.6Unverified
3Zhang et al.PCP3D98.1Unverified
4QuickPosePCP3D98.1Unverified
5PlaneSweepPosePCP3D97.9Unverified
6TesseTrack (correct)PCP3D97.9Unverified
7UTTMPCP3D97.7Unverified
8PRGNPCP3D97.7Unverified
9Faster VoxelPosePCP3D97.6Unverified
104D Association PosePCP3D97.6Unverified