Pose Estimation

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1051–1100 of 4228 papers

Title	Date	Tasks	Status	Hype	Score
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems	Jan 22, 2022	3D Object Reconstruction3D Reconstruction	CodeCode Available	1	5
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation	Dec 16, 2021	6D Pose EstimationObject	CodeCode Available	1	5
Peeking into occluded joints: A novel framework for crowd pose estimation	Mar 23, 2020	Pose Estimation	CodeCode Available	1	5
PE-former: Pose Estimation Transformer	Dec 9, 2021	Decoderimage-classification	CodeCode Available	1	5
Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera	Aug 6, 2024	ObjectPose Estimation	CodeCode Available	1	5
Dynamical Pose Estimation	Mar 10, 2021	Point Cloud RegistrationPose Estimation	CodeCode Available	1	5
PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding	Jul 22, 2021	Multi-Person Pose EstimationPose Estimation	CodeCode Available	1	5
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video	May 2, 2022	3D Human Pose Estimation3D Multi-Person Pose Estimation	CodeCode Available	1	5
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation	Mar 15, 2022	3D Human Pose EstimationDenoising	CodeCode Available	1	5
Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity	Jan 1, 2023	Pose Estimation	CodeCode Available	1	5
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning	Dec 6, 2023	In-Context Learningmotion prediction	CodeCode Available	1	5
Dual Super-Resolution Learning for Semantic Segmentation	Jun 1, 2020	Crack SegmentationImage Super-Resolution	CodeCode Available	1	5
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors	Dec 2, 2023	DiversityPose Estimation	CodeCode Available	1	5
Deep Unsupervised Similarity Learning using Partially Ordered Sets	Apr 7, 2017	Pose Estimation	CodeCode Available	0	5
Optimal Multi-view Correction of Local Affine Frames	May 1, 2019	Homography EstimationPose Estimation	CodeCode Available	0	5
Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV	Jun 13, 2024	Pose EstimationPosition	CodeCode Available	0	5
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes	Dec 1, 2021	Instance SegmentationPose Estimation	CodeCode Available	0	5
Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints	Jun 24, 2022	Pose EstimationVehicle Pose Estimation	CodeCode Available	0	5
Optimal Pose and Shape Estimation for Category-level 3D Object Perception	Apr 16, 2021	ObjectPose Estimation	CodeCode Available	0	5
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding	Sep 10, 2018	3D Object ReconstructionObject	CodeCode Available	0	5
3D Pose Estimation for Fine-Grained Object Categories	Jun 12, 2018	3D Pose EstimationObject	CodeCode Available	0	5
Deep Residual Learning for Instrument Segmentation in Robotic Surgery	Mar 24, 2017	Pose EstimationSegmentation	CodeCode Available	0	5
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning	Jul 4, 2019	Camera Pose EstimationPoint Cloud Classification	CodeCode Available	0	5
On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds	Mar 16, 2022	Pose EstimationSensitivity	CodeCode Available	0	5
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation	Aug 28, 2017	3D Hand Pose EstimationData Augmentation	CodeCode Available	0	5
DeepPose: Human Pose Estimation via Deep Neural Networks	Dec 17, 2013	Pose Estimationregression	CodeCode Available	0	5
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment	Dec 12, 2019	3D ReconstructionAll	CodeCode Available	0	5
Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation	Dec 9, 2024	Pose Estimation	CodeCode Available	0	5
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	0	5
Adaptive Graphical Model Network for 2D Handpose Estimation	Sep 18, 2019	Hand Pose Estimationmodel	CodeCode Available	0	5
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision	Aug 20, 2023	3D Pose EstimationHand Pose Estimation	CodeCode Available	0	5
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification	Jan 11, 2022	Auxiliary LearningKnowledge Distillation	CodeCode Available	0	5
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association	Nov 25, 2021	Instance SegmentationKeypoint Detection	CodeCode Available	0	5
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI	May 2, 2022	Brain SegmentationHead Pose Estimation	CodeCode Available	0	5
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering	Jul 9, 2019	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	0	5
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence	Sep 3, 2018	Pose EstimationViewpoint Estimation	CodeCode Available	0	5
Object Pose Estimation using Mid-level Visual Representations	Mar 2, 2022	3D ReconstructionObject	CodeCode Available	0	5
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks	Jun 1, 2019	3D Car Instance Understanding3D Object Reconstruction From A Single Image	CodeCode Available	0	5
Nose, eyes and ears: Head pose estimation by locating facial keypoints	Dec 3, 2018	Head Pose EstimationPose Estimation	CodeCode Available	0	5
Adaptive Decoupled Pose Knowledge Distillation	Oct 1, 2023	Knowledge DistillationPose Estimation	CodeCode Available	0	5
AthleticsPose: Authentic Sports Motion Dataset on Athletic Field and Evaluation of Monocular 3D Pose Estimation Ability	Jul 17, 2025	3D Pose EstimationPose Estimation	CodeCode Available	0	5
Normalized Diversification	Apr 7, 2019	Conditional Image GenerationDiversity	CodeCode Available	0	5
A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimation	Sep 15, 2022	Pose Estimation	CodeCode Available	0	5
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images	Feb 28, 2024	3D Human Pose EstimationDataset Generation	CodeCode Available	0	5
Deep learning-based estimation of whole-body kinematics from multi-view images	Jul 12, 2023	Pose Estimation	CodeCode Available	0	5
Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data	May 23, 2021	3D Human Pose Estimation3D Pose Estimation	CodeCode Available	0	5
Neural Scene Decomposition for Multi-Person Motion Capture	Mar 13, 2019	3D geometry3D Pose Estimation	CodeCode Available	0	5
Numerical Coordinate Regression with Convolutional Neural Networks	Jan 23, 2018	Pose Estimationregression	CodeCode Available	0	5
NeRF-Supervised Feature Point Detection and Description	Mar 13, 2024	Homography EstimationNeRF	CodeCode Available	0	5
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation	Aug 17, 2018	3D Human Pose EstimationMonocular 3D Human Pose Estimation	CodeCode Available	0	5

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All datasets COCO test-dev MPII Human Pose OCHuman Leeds Sports Poses CrowdPose COCO val2017 AIC COCO (Common Objects in Context)InLoc ITOP front-view J-HMDB MPII Single Person

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	yolopose	AP50	90.3	—	Unverified
2	ViTPose (ViTAE-G, ensemble)	AP	81.1	—	Unverified
3	ViTPose (ViTAE-G)	AP	80.9	—	Unverified
4	PoseBH-H	AP	79.5	—	Unverified
5	UDP-Pose-PSA(384x288)	AP	79.5	—	Unverified
6	4xRSN-50 (ensemble)	AP	79.2	—	Unverified
7	UDP-Pose-PSA(256x192)	AP	78.9	—	Unverified
8	CCM+	AP	78.9	—	Unverified
9	4xRSN-50	AP	78.6	—	Unverified
10	PCT (256x256)	AP	78.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PCT (swin-l, test set)	PCKh-0.5	94.3	—	Unverified
2	Soft-gated Skip Connections	PCKh-0.5	94.1	—	Unverified
3	Cascade Feature Aggregation	PCKh-0.5	93.9	—	Unverified
4	PCT (swin-b, test set)	PCKh-0.5	93.8	—	Unverified
5	TransPose	PCKh-0.5	93.5	—	Unverified
6	UniHCP (FT)	PCKh-0.5	93.2	—	Unverified
7	4xRSN-50	PCKh-0.5	93	—	Unverified
8	UniPose	PCKh-0.5	92.7	—	Unverified
9	MSPN	PCKh-0.5	92.6	—	Unverified
10	Spatial Context	PCKh-0.5	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViTPose (ViTAE-G, GT bounding boxes)	Test AP	93.3	—	Unverified
2	UniHCP (direct eval)	Test AP	87.4	—	Unverified
3	PoseBH-H	Test AP	87	—	Unverified
4	RTMPose(RTMPose-l, GT bounding boxes)	Test AP	80.3	—	Unverified
5	TransPose-H	Validation AP	62.3	—	Unverified
6	BBox-Mask-Pose 2x	Test AP	48.3	—	Unverified
7	BUCTD (CID-W32)	Test AP	47.2	—	Unverified
8	HQNet (ViT-L)	Test AP	45.6	—	Unverified
9	MaskPose-b	Test AP	45	—	Unverified
10	CID (HRNet-W48)	Test AP	45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	PCK	99.5	—	Unverified
2	Soft-gated Skip Connections	PCK	94.8	—	Unverified
3	Residual Hourglass + ASR + AHO	PCK	94.5	—	Unverified
4	UniPose	PCK	94.5	—	Unverified
5	Chou et al. arXiv'17	PCK	94	—	Unverified
6	Pyramid Residual Modules (PRMs)	PCK	93.9	—	Unverified
7	Stacked hourglass + Inception-resnet	PCK	93.9	—	Unverified
8	Multi-Context Attention	PCK	92.6	—	Unverified
9	FPD	PCK	90.8	—	Unverified
10	Part heatmap regression (ResNet-152)	PCK	90.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD-W48 (w/cond. input from PETR, and generative sampling)	AP	78.5	—	Unverified
2	ViTPose-G	AP	78.3	—	Unverified
3	BUCTD-W48 (w/cond. input from PETR)	AP	76.7	—	Unverified
4	SwinV2-L 1K-MIM	AP	75.5	—	Unverified
5	SwinV2-B 1K-MIM	AP	74.9	—	Unverified
6	BUCTD-W48	AP	72.9	—	Unverified
7	OpenPifPaf	AP	70.5	—	Unverified
8	MIPNet (HRNet-W48)	AP	70	—	Unverified
9	KAPAO-L	AP	68.9	—	Unverified
10	KAPAO-M	AP	67.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CCNet (ViTPose-B_GT-bbox_256x192)	AP	78.1	—	Unverified
2	MogaNet-B (384x288)	AP	77.3	—	Unverified
3	ViTPose-B (Single-task_GT-bbox_256x192)	AP	77.3	—	Unverified
4	MogaNet-S (384x288)	AP	76.4	—	Unverified
5	Bias (HRNet_256x192)	AP	75.8	—	Unverified
6	ViTPose-B (Single-task_Det-bbox_256x192)	AP	75.8	—	Unverified
7	HRNet (256x192)	AP	75.3	—	Unverified
8	MogaNet-S (256x192)	AP	74.9	—	Unverified
9	MogaNet-T (256x192)	AP	73.2	—	Unverified
10	RLE (256x192)	AP	71.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hulk(Finetune, ViT-L)	AP	37.1	—	Unverified
2	Hulk(Finetune, ViT-B)	AP	35.6	—	Unverified
3	HRFormer (HRFomer-B)	AP	34.4	—	Unverified
4	UniHCP (finetune)	AP	33.6	—	Unverified
5	HRNet (HRNet-w48 )	AP	33.5	—	Unverified
6	HRNet (HRNet-w32)	AP	32.3	—	Unverified
7	HRFormer (HRFomer-S)	AP	31.6	—	Unverified
8	SimpleBaseline (ResNet-152)	AP	29.9	—	Unverified
9	SimpleBaseline (ResNet-101)	AP	29.4	—	Unverified
10	SimpleBaseline (ResNet-50)	AP	28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BUCTD (PETR, with generative sampling)	APL	83.7	—	Unverified
2	OmniPose (WASPv2)	AP	79.5	—	Unverified
3	MetaPrompt-SD	AP	79	—	Unverified
4	Hulk(Finetune, ViT-L)	AP	78.7	—	Unverified
5	BUCTD (PETR, with generative sampling)	AP	77.8	—	Unverified
6	Hulk(Finetune, ViT-B)	AP	77.5	—	Unverified
7	I²R-Net (1st stage:HRFormer-B)	AP	77.3	—	Unverified
8	PATH (Partial FT)	AP	77.1	—	Unverified
9	SOLIDER (swin-B)	AP	76.6	—	Unverified
10	PEFORMER-Xcit-dino-p8	AP	72.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GIM-DKM	DUC1-Acc@0.25m,10°	57.1	—	Unverified
2	GIM-LoFTR	DUC1-Acc@0.25m,10°	54.5	—	Unverified
3	GIM-SuperGlue	DUC1-Acc@0.25m,10°	53.5	—	Unverified
4	DKM	DUC1-Acc@0.25m,10°	51.5	—	Unverified
5	SuperGlue	DUC1-Acc@0.25m,10°	49	—	Unverified
6	LoFTR	DUC1-Acc@0.25m,10°	47.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaPose	Mean mAP	93.38	—	Unverified
2	DECA-D3	Mean mAP	88.75	—	Unverified
3	V2V-PoseNet	Mean mAP	88.74	—	Unverified
4	A2J	Mean mAP	88	—	Unverified
5	REN	Mean mAP	84.9	—	Unverified
6	Multi-task learning + viewpoint invariance	Mean mAP	77.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SimpleBaseline + HANet	Mean PCK@0.2	99.6	—	Unverified
2	DeciWatch	Mean PCK@0.2	99	—	Unverified
3	LSTM PM	Mean PCK@0.2	93.6	—	Unverified
4	CPM	Mean PCK@0.2	91.9	—	Unverified
5	UniTrack_i18	Mean PCK@0.2	80.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	4xRSN-50	PCKh@0.5	93	—	Unverified
2	Refine	PCKh@0.5	92.1	—	Unverified
3	EfficientPose IV	PCKh@0.5	91.2	—	Unverified
4	OpenPose	PCKh@0.5	88.8	—	Unverified
5	Adversarial Learning	PCKh@0.5	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OmniPose	Mean PCK@0.2	99.4	—	Unverified
2	UniPose-LSTM	Mean PCK@0.2	99.3	—	Unverified
3	LSTM PM	Mean PCK@0.2	97.7	—	Unverified
4	Thin-Slicing	Mean PCK@0.2	96.5	—	Unverified
5	Iqbal et al.	Mean PCK@0.2	81.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DP-RCNN-DeepLab (ResNet-101)	AP	68	—	Unverified