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 561–570 of 665 papers

Title	Date	Tasks	Status
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer	May 2, 2025	3D Human Pose EstimationPose Estimation	CodeCode Available
Cross View Fusion for 3D Human Pose Estimation	Sep 3, 2019	2D Pose Estimation3D Human Pose Estimation	CodeCode Available
Learning Temporal 3D Human Pose Estimation with Pseudo-Labels	Oct 14, 2021	3D Human Pose EstimationPose Estimation	CodeCode Available
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation	Aug 16, 2021	3D Human Pose Estimation3D Pose Estimation	CodeCode Available
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks	Apr 3, 2025	3D Human Pose Estimation3D Pose Estimation	CodeCode Available
Learning Pyramid-structured Long-range Dependencies for 3D Human Pose Estimation	Jun 3, 2025	3D Human Pose EstimationGraph Attention	CodeCode Available
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation	Mar 18, 2025	3D Human Pose EstimationKnowledge Distillation	CodeCode Available
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition	Dec 15, 2019	3D Human Pose EstimationAction Recognition	CodeCode Available
Convolutional Pose Machines	Jan 30, 2016	3D Human Pose EstimationCar Pose Estimation	CodeCode Available
3D human pose estimation from depth maps using a deep combination of poses	Jul 14, 2018	3D Human Pose EstimationPose Estimation	CodeCode Available

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All datasets 3DPW MPI-INF-3DHP Human3.6M HumanEva-I H3WB Total Capture EMDB AGORA Panoptic Surreal 3D Poses in the Wild Challenge AIST++

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Simple-baseline	PA-MPJPE	157	—	Unverified
2	HMR	MPJPE	130	—	Unverified
3	BMP	MPVPE	119.3	—	Unverified
4	SPIN	MPVPE	116.4	—	Unverified
5	Wenshuo et a;.	MPVPE	112.6	—	Unverified
6	TCMR (T=16 w/o 3DPW)	MPVPE	111.5	—	Unverified
7	CHOMP	MPVPE	110.1	—	Unverified
8	PC-HMR	MPVPE	108.6	—	Unverified
9	3DCrowdNet	MPVPE	108.5	—	Unverified
10	SMPLify	PA-MPJPE	106.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VNect (Augm.)	MPJPE	124.7	—	Unverified
2	HMR	MPJPE	124.2	—	Unverified
3	Single-Shot Multi-Person	MPJPE	122.2	—	Unverified
4	Mehta	MPJPE	117.6	—	Unverified
5	PONet	MPJPE	115	—	Unverified
6	Pose Consensus (monocular)	MPJPE	112.1	—	Unverified
7	GeoRep (fully-supervised)	MPJPE	110.8	—	Unverified
8	XFormer (HRNet)	MPJPE	109.8	—	Unverified
9	EpipolarPose (fully-supervised)	MPJPE	108.99	—	Unverified
10	SPIN	MPJPE	105.2	—	Unverified