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 631640 of 665 papers

TitleStatusHype
3D Human Pose Estimation = 2D Pose Estimation + Matching0
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision0
3D Human Pose Estimation from a Single Image via Distance Matrix Regression0
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human PoseCode1
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose EstimationCode0
Deep Kinematic Pose Regression0
Human Pose Estimation in Space and Time using 3D CNN0
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information0
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single ImageCode1
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild0
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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