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

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Showing 326–350 of 665 papers

TitleStatusHype
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
Mirror-Aware Neural HumansCode0
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose EstimationCode0
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion—0
PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation—0
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling—0
Iterative Graph Filtering Network for 3D Human Pose EstimationCode0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting—0
ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning—0
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view—0
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling—0
Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images—0
Automatic Labeling of Parkinson’s Disease Gait Videos with Weak SupervisionCode0
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network—0
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors—0
Motion-DVAE: Unsupervised learning for fast human motion denoising—0
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training—0
XFormer: Fast and Accurate Monocular 3D Body Capture—0
Regular Splitting Graph Network for 3D Human Pose EstimationCode0
TAPE: Temporal Attention-based Probabilistic human pose and shape EstimationCode0
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation—0
Human Pose Estimation in Monocular Omnidirectional Top-View Images—0
Self-supervised 3D Human Pose Estimation from a Single Image—0
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All datasets3DPWMPI-INF-3DHPHuman3.6MHumanEva-IH3WBTotal CaptureEMDBAGORAPanopticSurreal3D Poses in the Wild ChallengeAIST++

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157—Unverified
2HMRMPJPE130—Unverified
3BMPMPVPE119.3—Unverified
4SPINMPVPE116.4—Unverified
5Wenshuo et a;.MPVPE112.6—Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5—Unverified
7CHOMPMPVPE110.1—Unverified
8PC-HMRMPVPE108.6—Unverified
93DCrowdNetMPVPE108.5—Unverified
10SMPLifyPA-MPJPE106.8—Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7—Unverified
2HMRMPJPE124.2—Unverified
3Single-Shot Multi-PersonMPJPE122.2—Unverified
4MehtaMPJPE117.6—Unverified
5PONetMPJPE115—Unverified
6Pose Consensus (monocular)MPJPE112.1—Unverified
7GeoRep (fully-supervised)MPJPE110.8—Unverified
8XFormer (HRNet)MPJPE109.8—Unverified
9EpipolarPose (fully-supervised)MPJPE108.99—Unverified
10SPINMPJPE105.2—Unverified