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 261–270 of 665 papers

Title	Date	Tasks	Status
Learnable human mesh triangulation for 3D human pose and shape estimation	Aug 24, 2022	3D human pose and shape estimation3D Human Pose Estimation	—Unverified
Learning Monocular 3D Human Pose Estimation from Multi-view Images	Mar 13, 2018	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs	Jun 18, 2025	3D Hand Pose Estimation3D Human Pose Estimation	—Unverified
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting	Jul 18, 2023	3D Human Pose EstimationPose Estimation	—Unverified
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution	Oct 31, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation	Aug 14, 2019	3D Human Pose EstimationMetric Learning	—Unverified
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset	Mar 21, 2024	3D Human Pose EstimationHuman Pose Forecasting	—Unverified
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data	May 17, 2018	2D Pose Estimation3D Human Pose Estimation	—Unverified
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos	Nov 21, 2023	3D human pose and shape estimation3D Human Pose Estimation	—Unverified
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation	Aug 6, 2022	2D Pose Estimation3D Human 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