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 421–430 of 665 papers

Title	Date	Tasks	Status	Hype
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation	Nov 10, 2020	2D Pose Estimation3D Human Pose Estimation	CodeCode Available	1
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video	Nov 4, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution	Oct 31, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified	0
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People	Oct 31, 2020	3D Human Pose Estimation3D Multi-Person Pose Estimation	CodeCode Available	1
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild	Oct 26, 2020	3D Human Pose EstimationPose Estimation	CodeCode Available	1
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation	Oct 23, 2020	3D Human Pose EstimationMonocular 3D Human Pose Estimation	—Unverified	0
HPERL: 3D Human Pose Estimation from RGB and LiDAR	Oct 16, 2020	3D Human Pose EstimationAction Recognition	CodeCode Available	0
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization	Oct 13, 2020	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
A review of 3D human pose estimation algorithms for markerless motion capture	Oct 13, 2020	2D Pose Estimation3D Human Pose Estimation	—Unverified	0
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation	Oct 13, 2020	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