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 151175 of 665 papers

TitleStatusHype
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling0
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose EstimationCode1
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Double-chain Constraints for 3D Human Pose Estimation in Images and VideosCode1
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor ScenesCode1
Iterative Graph Filtering Network for 3D Human Pose EstimationCode0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving0
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting0
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose EstimationCode1
ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning0
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view0
MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling0
Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images0
Automatic Labeling of Parkinson’s Disease Gait Videos with Weak SupervisionCode0
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network0
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors0
Motion-DVAE: Unsupervised learning for fast human motion denoising0
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D EnvironmentsCode3
Humans in 4D: Reconstructing and Tracking Humans with TransformersCode3
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training0
XFormer: Fast and Accurate Monocular 3D Body Capture0
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape EstimationCode2
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationCode1
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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