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 441–450 of 665 papers

Title	Date	Tasks	Status	Hype
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses	Aug 13, 2020	3D Human Pose EstimationMulti-Hypotheses 3D Human Pose Estimation	CodeCode Available	1
3D Human Motion Estimation via Motion Compression and Refinement	Aug 9, 2020	3D Human Pose Estimation	CodeCode Available	1
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image	Aug 9, 2020	3D Hand Pose Estimation3D Human Pose Estimation	CodeCode Available	1
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation	Aug 4, 2020	2D Pose Estimation3D Human Pose Estimation	CodeCode Available	0
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation	Aug 1, 2020	3D Generation3D Human Pose Estimation	—Unverified	0
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation	Aug 1, 2020	3D Human Pose EstimationPose Estimation	CodeCode Available	0
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach	Aug 1, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	Aug 1, 2020	3D Human Pose Estimation3D Multi-Person Pose Estimation	—Unverified	0
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild	Jul 30, 2020	3D Human Pose Estimation3D Human Reconstruction	CodeCode Available	1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning	Jul 27, 2020	3D Human Pose Estimation3D Shape Reconstruction	CodeCode Available	1

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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