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

Showing 151–175 of 665 papers

TitleStatusHype
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose EstimationCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose EstimationCode1
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersCode1
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose EstimationCode1
Deep Reinforcement Learning for Active Human Pose EstimationCode1
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted SensorsCode1
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual PerceptionCode1
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose EstimationCode1
Deformable Mesh Transformer for 3D Human Mesh RecoveryCode1
ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from VideosCode1
Dual networks based 3D Multi-Person Pose Estimation from Monocular VideoCode1
A simple yet effective baseline for 3d human pose estimationCode1
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic CamerasCode1
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic TrackersCode1
Graph Stacked Hourglass Networks for 3D Human Pose EstimationCode1
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose EstimationCode1
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal DenoiserCode1
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose EstimationCode1
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose ReconstructionCode1
DiffPose: Toward More Reliable 3D Pose EstimationCode1
AGORA: Avatars in Geography Optimized for Regression AnalysisCode1
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis AggregationCode1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachCode1
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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