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 326–350 of 665 papers

TitleStatusHype
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos—0
(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation—0
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections—0
GenHMR: Generative Human Mesh Recovery—0
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals—0
Geometric Pose Affordance: 3D Human Pose with Scene Constraints—0
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction—0
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild—0
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction—0
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations—0
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation—0
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation—0
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation—0
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation—0
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation—0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
HoloPose: Holistic 3D Human Reconstruction In-The-Wild—0
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation—0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving—0
Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments—0
Human Body Model Fitting by Learned Gradient Descent—0
Human Pose Estimation in Monocular Omnidirectional Top-View Images—0
Human Pose Estimation in Space and Time using 3D CNN—0
Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs—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