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 126150 of 665 papers

TitleStatusHype
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic CamerasCode1
Global-to-Local Modeling for Video-based 3D Human Pose and Shape EstimationCode1
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D PoseCode1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular VideosCode1
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape EstimationCode1
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion ReconstructionCode1
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human PoseCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic ProjectionCode1
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal TransformerCode1
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose EstimationCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersCode1
D&D: Learning Human Dynamics from Dynamic CameraCode1
Deformable Mesh Transformer for 3D Human Mesh RecoveryCode1
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule AutoencodersCode1
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in VideoCode1
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose EstimationCode1
Anatomy-aware 3D Human Pose Estimation with Bone-based Pose DecompositionCode1
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual PerceptionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157Unverified
2HMRMPJPE130Unverified
3BMPMPVPE119.3Unverified
4SPINMPVPE116.4Unverified
5Wenshuo et a;.MPVPE112.6Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5Unverified
7CHOMPMPVPE110.1Unverified
8PC-HMRMPVPE108.6Unverified
93DCrowdNetMPVPE108.5Unverified
10SMPLifyPA-MPJPE106.8Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7Unverified
2HMRMPJPE124.2Unverified
3Single-Shot Multi-PersonMPJPE122.2Unverified
4MehtaMPJPE117.6Unverified
5PONetMPJPE115Unverified
6Pose Consensus (monocular)MPJPE112.1Unverified
7GeoRep (fully-supervised)MPJPE110.8Unverified
8XFormer (HRNet)MPJPE109.8Unverified
9EpipolarPose (fully-supervised)MPJPE108.99Unverified
10SPINMPJPE105.2Unverified