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 51–60 of 665 papers

Title	Date	Tasks	Status	Hype	Score
Deep High-Resolution Representation Learning for Human Pose Estimation	Feb 25, 2019	2D Human Pose Estimation2D Pose Estimation	CodeCode Available	1	5
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation	Jul 7, 2023	3D Human Pose EstimationImage to 3D	CodeCode Available	1	5
3D Human Mesh Regression with Dense Correspondence	Jun 10, 2020	3D Human Pose Estimation3D Human Reconstruction	CodeCode Available	1	5
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation	Mar 16, 2022	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	1	5
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction	Mar 30, 2021	3D Human Pose Estimation	CodeCode Available	1	5
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild	Oct 26, 2020	3D Human Pose EstimationPose Estimation	CodeCode Available	1	5
Deep Learning-Based Human Pose Estimation: A Survey	Dec 24, 2020	2D Human Pose Estimation3D Human Pose Estimation	CodeCode Available	1	5
Deep Reinforcement Learning for Active Human Pose Estimation	Jan 7, 2020	3D Human Pose EstimationDeep Reinforcement Learning	CodeCode Available	1	5
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation	Dec 22, 2021	3D Human Pose EstimationDiversity	CodeCode Available	1	5
BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment	Oct 28, 2024	3D Human Pose EstimationPose Estimation	CodeCode Available	1	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