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 301–350 of 665 papers

TitleStatusHype
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation—0
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare—0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB—0
Depth sweep regression forests for estimating 3d human pose from images—0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction—0
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion—0
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models—0
Direct Prediction of 3D Body Poses from Motion Compensated Sequences—0
DRPose3D: Depth Ranking in 3D Human Pose Estimation—0
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Embodied Scene-aware Human Pose Estimation—0
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation—0
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions—0
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation—0
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation—0
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision—0
Everybody Is Unique: Towards Unbiased Human Mesh Recovery—0
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors—0
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation—0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset—0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution—0
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs—0
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos—0
(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation—0
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections—0
GenHMR: Generative Human Mesh Recovery—0
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals—0
Geometric Pose Affordance: 3D Human Pose with Scene Constraints—0
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction—0
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild—0
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction—0
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations—0
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation—0
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation—0
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation—0
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation—0
Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation—0
Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense—0
HoloPose: Holistic 3D Human Reconstruction In-The-Wild—0
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation—0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving—0
Human3.6m: Large scale datasets and predictive methods for 3D human sensing in natural environments—0
Human Body Model Fitting by Learned Gradient Descent—0
Human Pose Estimation in Monocular Omnidirectional Top-View Images—0
Human Pose Estimation in Space and Time using 3D CNN—0
Hybrid 3D Human Pose Estimation with Monocular Video and Sparse IMUs—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