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 401425 of 665 papers

TitleStatusHype
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera0
Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning0
Benchmarking 3D Human Pose Estimation Models Under Occlusions0
Beyond Weak Perspective for Monocular 3D Human Pose Estimation0
BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos0
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets0
BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation0
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation0
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation0
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos0
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations0
Can 3D Pose be Learned from 2D Projections Alone?0
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation0
D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement0
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction0
DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos0
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training0
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling0
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image0
Deep Kinematic Pose Regression0
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation0
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting0
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing0
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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