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 601625 of 665 papers

TitleStatusHype
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images0
2D/3D Pose Estimation and Action Recognition using Multitask Deep LearningCode0
Image-based Synthesis for Deep 3D Human Pose Estimation0
DensePose: Dense Human Pose Estimation In The WildCode0
End-to-end Recovery of Human Shape and PoseCode0
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBCode0
Self-supervised Learning of Motion CaptureCode0
DeepSkeleton: Skeleton Map for 3D Human Pose Regression0
Learning 3D Human Pose from Structure and MotionCode0
Exploiting temporal information for 3D pose estimationCode0
Integral Human Pose RegressionCode0
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth MapCode0
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation0
Monocular 3D Human Pose Estimation by Predicting Depth on Joints0
Total capture: 3D human pose estimation fusing video and inertial sensors0
Recurrent 3D Pose Sequence Machines0
LCR-Net: Localization-Classification-Regression for Human Pose0
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation0
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision0
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image0
VNect: Real-time 3D Human Pose Estimation with a Single RGB CameraCode0
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations0
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation0
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised ApproachCode0
Compositional Human Pose RegressionCode0
Show:102550
← PrevPage 25 of 27Next →

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