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 431–440 of 665 papers

Title	Date	Tasks	Status	Hype
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild	Sep 21, 2020	3D human pose and shape estimation3D Human Pose Estimation	CodeCode Available	1
Beyond Weak Perspective for Monocular 3D Human Pose Estimation	Sep 14, 2020	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified	0
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression	Sep 4, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
LiftFormer: 3D Human Pose Estimation using attention models	Sep 1, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
Monocular, One-stage, Regression of Multiple 3D People	Aug 27, 2020	3D Depth Estimation3D Human Pose Estimation	CodeCode Available	2
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation	Aug 26, 2020	2D Pose Estimation3D Depth Estimation	CodeCode Available	1
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose	Aug 20, 2020	3D Hand Pose Estimation3D Human Pose Estimation	CodeCode Available	1
Monocular Expressive Body Regression through Body-Driven Attention	Aug 20, 2020	3D Face Reconstruction3D Hand Pose Estimation	CodeCode Available	1
Human Body Model Fitting by Learned Gradient Descent	Aug 19, 2020	3D Human Pose EstimationAvg	—Unverified	0
Neural Descent for Visual 3D Human Pose and Shape	Aug 16, 2020	3D Human 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