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 276–300 of 665 papers

TitleStatusHype
Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises—0
Flexible graph convolutional network for 3D human pose estimationCode0
3D-UGCN: A Unified Graph Convolutional Network for Robust 3D Human Pose Estimation from Monocular RGB Images—0
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation—0
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark—0
STGFormer: Spatio-Temporal GraphFormer for 3D Human Pose Estimation in Video—0
RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation—0
Markerless Multi-view 3D Human Pose Estimation: a survey—0
Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation—0
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding—0
Di^2Pose: Discrete Diffusion Model for Occluded 3D Human Pose Estimation—0
RemoCap: Disentangled Representation Learning for Motion Capture—0
Pose Priors from Language Models—0
Multi-hop graph transformer network for 3D human pose estimation—0
Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose EstimationCode0
Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning—0
Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised TrainingCode0
Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs—0
3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN RefinementCode0
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues—0
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers—0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset—0
PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery—0
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation—0
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models—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