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 301325 of 665 papers

TitleStatusHype
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervisionCode2
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation0
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds0
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose EstimationCode1
Occluded Human Mesh Recovery0
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localizationCode1
3D Human Pose Estimation Using Möbius Graph Convolutional Networks0
HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions0
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDARCode1
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video0
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose EstimationCode1
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose EstimationCode1
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation FrameworkCode0
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV0
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in VideoCode2
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision0
SmoothNet: A Plug-and-Play Network for Refining Human Poses in VideosCode1
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments0
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion GenerationCode1
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving0
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only0
ICON: Implicit Clothed humans Obtained from NormalsCode2
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D PosesCode1
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic CamerasCode1
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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