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 561570 of 665 papers

TitleStatusHype
Learning 3D Human Dynamics from VideoCode0
Monocular Total Capture: Posing Face, Body, and Hands in the WildCode0
3D human pose estimation in video with temporal convolutions and semi-supervised trainingCode1
OriNet: A Fully Convolutional Network for 3D Human Pose EstimationCode0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge0
Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning ApproachesCode0
Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision0
3D Human Pose Estimation with Siamese Equivariant EmbeddingCode0
An Integral Pose Regression System for the ECCV2018 PoseTrack ChallengeCode0
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose EstimationCode0
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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