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 591–600 of 665 papers

Title	Date	Tasks	Status
BodyNet: Volumetric Inference of 3D Human Body Shapes	Apr 13, 2018	3D Human Pose EstimationSegmentation	CodeCode Available
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation	Apr 3, 2018	3D geometry3D Human Pose Estimation	CodeCode Available
3D Human Pose Estimation in the Wild by Adversarial Learning	Mar 26, 2018	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations	Mar 22, 2018	3D Human Pose Estimation3D 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
3D Human Pose Estimation in RGBD Images for Robotic Task Learning	Mar 7, 2018	3D Human Pose Estimation3D Pose Estimation	CodeCode Available
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images	Mar 1, 2018	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning	Feb 26, 2018	3D Human Pose Estimation3D Pose Estimation	CodeCode Available
Image-based Synthesis for Deep 3D Human Pose Estimation	Feb 12, 2018	3D Human Pose Estimation3D Pose Estimation	—Unverified
DensePose: Dense Human Pose Estimation In The Wild	Feb 1, 2018	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available

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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