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

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Showing 301–325 of 665 papers

TitleStatusHype
DRPose3D: Depth Ranking in 3D Human Pose Estimation—0
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network—0
Direct Prediction of 3D Body Poses from Motion Compensated Sequences—0
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models—0
M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings—0
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera—0
3D Human Pose Estimation from Deep Multi-View 2D Pose—0
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models—0
Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation—0
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion—0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction—0
Depth sweep regression forests for estimating 3d human pose from images—0
3D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Training—0
3D Human Pose Perception from Egocentric Stereo Videos—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB—0
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare—0
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints—0
A review of 3D human pose estimation algorithms for markerless motion capture—0
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation—0
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation—0
KAMA: 3D Keypoint Aware Body Mesh Articulation—0
DeepSkeleton: Skeleton Map for 3D Human Pose Regression—0
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task—0
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning—0
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All datasets3DPWMPI-INF-3DHPHuman3.6MHumanEva-IH3WBTotal CaptureEMDBAGORAPanopticSurreal3D Poses in the Wild ChallengeAIST++

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157—Unverified
2HMRMPJPE130—Unverified
3BMPMPVPE119.3—Unverified
4SPINMPVPE116.4—Unverified
5Wenshuo et a;.MPVPE112.6—Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5—Unverified
7CHOMPMPVPE110.1—Unverified
8PC-HMRMPVPE108.6—Unverified
93DCrowdNetMPVPE108.5—Unverified
10SMPLifyPA-MPJPE106.8—Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7—Unverified
2HMRMPJPE124.2—Unverified
3Single-Shot Multi-PersonMPJPE122.2—Unverified
4MehtaMPJPE117.6—Unverified
5PONetMPJPE115—Unverified
6Pose Consensus (monocular)MPJPE112.1—Unverified
7GeoRep (fully-supervised)MPJPE110.8—Unverified
8XFormer (HRNet)MPJPE109.8—Unverified
9EpipolarPose (fully-supervised)MPJPE108.99—Unverified
10SPINMPJPE105.2—Unverified