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 231–240 of 665 papers

Title	Date	Tasks	Status	Hype	Score
Scene-aware Egocentric 3D Human Pose Estimation	Dec 20, 2022	3D Human Pose EstimationDepth Estimation	CodeCode Available	1	5
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach	Mar 25, 2020	2D Pose Estimation3D Absolute Human Pose Estimation	CodeCode Available	1	5
Compositional Human Pose Regression	Apr 1, 2017	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0	5
Monocular Total Capture: Posing Face, Body, and Hands in the Wild	Dec 4, 2018	3D Human Pose EstimationHand Pose Estimation	CodeCode Available	0	5
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation	Aug 1, 2022	3D human pose and shape estimation3D Human Pose Estimation	CodeCode Available	0	5
Chirality Nets for Human Pose Regression	Oct 31, 2019	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0	5
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network	Apr 11, 2019	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available	0	5
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning	Feb 26, 2018	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0	5
Generalizing Monocular 3D Human Pose Estimation in the Wild	Apr 11, 2019	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0	5
Mirror-Aware Neural Humans	Sep 9, 2023	3D Human Pose EstimationNeRF	CodeCode Available	0	5

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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