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 361–370 of 665 papers

Title	Date	Tasks	Status
Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises	Aug 5, 2024	3D Human Pose EstimationPose Estimation	—Unverified
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network	Aug 6, 2024	3D Human Pose EstimationComputational Efficiency	—Unverified
BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds	Mar 1, 2025	3D Human Pose EstimationContrastive Learning	—Unverified
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation	Apr 13, 2017	2D Human Pose Estimation3D Human Pose Estimation	—Unverified
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task	Oct 2, 2023	3D Human Pose EstimationTest-time Adaptation	—Unverified
3D Human Pose Estimation = 2D Pose Estimation + Matching	Dec 20, 2016	2D Pose Estimation3D Human Pose Estimation	—Unverified
3D Human Pose Estimation for Free-form Activity Using WiFi Signals	Oct 15, 2021	3D Human Pose Estimation3D Human Pose Tracking	—Unverified
3D Human Pose Estimation for Free-from and Moving Activities Using WiFi	Apr 16, 2022	3D Human Pose Estimation3D Pose Estimation	—Unverified
3D Human Pose Estimation from a Single Image via Distance Matrix Regression	Nov 28, 2016	3D Human Pose EstimationPose Estimation	—Unverified
3D Human Pose Estimation from Deep Multi-View 2D Pose	Feb 7, 2019	3D Human Pose Estimation3D Pose Estimation	—Unverified

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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