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 281–290 of 665 papers

Title	Date	Tasks	Status	Hype
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation	Jun 13, 2022	3D Human Pose EstimationPose Estimation	CodeCode Available	1
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation	Jun 9, 2022	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
Efficient Human Pose Estimation via 3D Event Point Cloud	Jun 9, 2022	3D Human Pose EstimationEdge-computing	CodeCode Available	1
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space	Jun 4, 2022	3D Human Pose EstimationPose Estimation	—Unverified	0
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER	May 30, 2022	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	0
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation	May 25, 2022	3D Human Pose Estimation3D Multi-Person Pose Estimation	—Unverified	0
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose	May 25, 2022	3D Human Pose Estimation3D Multi-Person Human Pose Estimation	—Unverified	0
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video	May 24, 2022	3D Human Pose EstimationPose Estimation	—Unverified	0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction	May 24, 2022	3D Human Pose Estimation	—Unverified	0
"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation	May 12, 2022	3D Human Pose Estimation3D Pose Estimation	—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