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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 231–240 of 665 papers

Title	Date	Tasks	Status	Hype
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture	Sep 1, 2023	3D Human Pose EstimationPose Estimation	CodeCode Available	1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach	Mar 25, 2020	2D Pose Estimation3D Absolute Human Pose Estimation	CodeCode Available	1
A Dual-Source Approach for 3D Pose Estimation from a Single Image	Sep 22, 2015	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
3D Human Pose Estimation via Explicit Compositional Depth Maps	Feb 8, 2020	3D Human Pose EstimationPose Estimation	—Unverified	0
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image	May 8, 2017	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training	Apr 7, 2020	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified	0
GenHMR: Generative Human Mesh Recovery	Dec 19, 2024	3D Human Pose Estimation3D Reconstruction	—Unverified	0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge	Oct 3, 2018	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections	Feb 8, 2017	3D Human Pose Estimationvalid	—Unverified	0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network	Aug 6, 2024	3D Human Pose EstimationComputational Efficiency	—Unverified	0

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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