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
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image	Dec 9, 2019	3D Human Pose Estimation3D Pose Estimation	—Unverified
Deep Kinematic Pose Regression	Sep 17, 2016	3D Human Pose EstimationObject	—Unverified
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation	Jun 1, 2020	3D Human Pose Estimation3D Pose Estimation	—Unverified
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting	Apr 8, 2021	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing	Jan 31, 2017	3D Human Pose Estimation	—Unverified
Single-shot 3D multi-person pose estimation in complex images	Nov 8, 2019	3D Human Pose Estimation3D Multi-Person Human Pose Estimation	—Unverified
DeepSkeleton: Skeleton Map for 3D Human Pose Regression	Nov 29, 2017	2D Human Pose Estimation3D Human Pose Estimation	—Unverified
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation	Oct 22, 2021	3D Human Pose EstimationOptical Flow Estimation	—Unverified
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare	Sep 30, 2019	3D Human Pose Estimation	—Unverified
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB	Sep 17, 2024	3D Human Pose EstimationHallucination	—Unverified

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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