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 471480 of 665 papers

TitleStatusHype
SMPLy Benchmarking 3D Human Pose Estimation in the Wild0
Towards Locality Similarity Preserving to 3D Human Pose Estimation0
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation0
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution0
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation0
HPERL: 3D Human Pose Estimation from RGB and LiDARCode0
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization0
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation0
A review of 3D human pose estimation algorithms for markerless motion capture0
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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