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 451475 of 665 papers

TitleStatusHype
Combining Implicit Function Learning and Parametric Models for 3D Human ReconstructionCode1
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D ClothingCode1
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View GeometryCode1
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine ApproachCode1
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose EstimationCode1
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose EstimationCode1
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation0
Making DensePose fast and lightCode1
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation0
BlazePose: On-device Real-time Body Pose trackingCode4
Cascaded deep monocular 3D human pose estimation with evolutionary training dataCode1
3D Human Mesh Regression with Dense CorrespondenceCode1
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods0
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation0
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation0
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose ReconstructionCode1
Object-Occluded Human Shape and Pose Estimation From a Single Color Image0
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions0
Epipolar TransformersCode1
Motion Guided 3D Pose Estimation from VideosCode1
Towards Generalization of 3D Human Pose Estimation In The Wild0
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild EnvironmentCode1
Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video0
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis0
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth SupervisionCode1
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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