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 371380 of 665 papers

TitleStatusHype
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections0
3D Human Pose Estimation in the Wild by Adversarial Learning0
3D Human Pose Estimation on a Configurable Bed from a Pressure Image0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation0
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information0
3D Human Pose Estimation Using Möbius Graph Convolutional Networks0
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training0
3D Human Pose Estimation via Explicit Compositional Depth Maps0
3D Human Pose Estimation via Intuitive Physics0
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions0
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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