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

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Showing 2451–2500 of 4228 papers

Title	Date	Tasks	Status
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings	Jun 11, 2025	6D Pose EstimationPose Estimation	—Unverified
Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera	Mar 15, 2018	3D Pose EstimationEgocentric Pose Estimation	—Unverified
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR	Jan 21, 2024	Camera Pose EstimationPose Estimation	—Unverified
Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation	Jan 6, 2025	Pose Estimation	—Unverified
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision	Mar 7, 2020	Monocular 3D Object DetectionPose Estimation	—Unverified
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation	Aug 23, 2021	Pose EstimationSpacecraft Pose Estimation	—Unverified
Challenges for Monocular 6D Object Pose Estimation in Robotics	Jul 22, 2023	6D Pose Estimation using RGBObject	—Unverified
ChaLearn Looking at People: Inpainting and Denoising challenges	Jun 24, 2021	DenoisingPose Estimation	—Unverified
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild	Jul 7, 2016	3D Human Pose Estimation3D Pose Estimation	—Unverified
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis	Jan 1, 2025	Action RecognitionData Augmentation	—Unverified
MODEC: Multimodal Decomposable Models for Human Pose Estimation	Jun 1, 2013	Pose Estimation	—Unverified
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation	Sep 28, 2014	2D Human Pose EstimationPose Estimation	—Unverified
1-Point RANSAC-Based Method for Ground Object Pose Estimation	Aug 9, 2020	ObjectPose Estimation	—Unverified
Model-based Hand Pose Estimation for Generalized Hand Shape with Appearance Normalization	Jul 2, 2018	Hand Pose EstimationPose Estimation	—Unverified
Model-Based Underwater 6D Pose Estimation from RGB	Feb 14, 2023	2D Object Detection6D Pose Estimation	—Unverified
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects	Jul 15, 2016	ObjectPose Estimation	—Unverified
3D Multi-Object Tracking with Differentiable Pose Estimation	Jun 28, 2022	3D Multi-Object TrackingGraph Neural Network	—Unverified
Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation	Nov 3, 2023	2D Pose EstimationPose Estimation	—Unverified
Chained Predictions Using Convolutional Neural Networks	May 8, 2016	Pose Estimation	—Unverified
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction	Feb 6, 2024	3D Reconstruction3D Scene Reconstruction	—Unverified
Certifiable Relative Pose Estimation	Mar 30, 2020	Pose Estimation	—Unverified
Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation	Mar 28, 2022	6D Pose EstimationPose Estimation	—Unverified
Uni6Dv2: Noise Elimination for 6D Pose Estimation	Aug 15, 2022	6D Pose EstimationDenoising	—Unverified
Monkey Transfer Learning Can Improve Human Pose Estimation	Dec 20, 2024	Pose EstimationTransfer Learning	—Unverified
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction	Apr 18, 2025	3D ReconstructionCamera Pose Estimation	—Unverified
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation	Oct 1, 2021	3D Object DetectionInstance Segmentation	—Unverified
CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation	Dec 13, 2023	DecoderObject	—Unverified
Monocular 3D Human Pose Estimation by Predicting Depth on Joints	Oct 1, 2017	3D Human Pose EstimationDepth Estimation	—Unverified
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation	Jan 1, 2023	6D Pose Estimation using RGBObject	—Unverified
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation	Aug 21, 2022	6D Pose EstimationObject	—Unverified
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision	Nov 29, 2016	3D Human Pose EstimationDiversity	—Unverified
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation	Oct 1, 2019	6D Pose Estimation using RGBPose Estimation	—Unverified
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection	Sep 30, 2020	3D Object Detection3D Object Detection From Monocular Images	—Unverified
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods	Jun 2, 2020	3D Human Pose EstimationDeep Learning	—Unverified
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features	Nov 9, 2021	Pose Estimation	—Unverified
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery	Mar 12, 2024	AnatomyComputed Tomography (CT)	—Unverified
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping	Jun 20, 2025	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Monocular Person Localization under Camera Ego-motion	Mar 4, 2025	Pose EstimationPosition	—Unverified
Monocular pose estimation of articulated surgical instruments in open surgery	Jul 16, 2024	6D Pose EstimationDomain Adaptation	—Unverified
CCS: Continuous Learning for Customized Incremental Wireless Sensing Services	Dec 6, 2024	Action RecognitionKnowledge Distillation	—Unverified
Monocular Urban Localization using Street View	May 17, 2016	Pose Estimation	—Unverified
C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation	Dec 13, 2023	Image RetrievalPose Estimation	—Unverified
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models	Jan 1, 2024	3D Object DetectionMonocular 3D Object Detection	—Unverified
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments	Jul 18, 2022	Depth EstimationDepth Prediction	—Unverified
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments	Jul 26, 2021	Depth EstimationMonocular Depth Estimation	—Unverified
MonoPerfCap: Human Performance Capture from Monocular Video	Aug 7, 2017	Monocular ReconstructionPose Estimation	—Unverified
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation	Jan 24, 2025	Pose Estimation	—Unverified
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis	Aug 18, 2020	Image GenerationObject	—Unverified
Moo-ving Beyond Tradition: Revolutionizing Cattle Behavioural Phenotyping with Pose Estimation Techniques	Aug 12, 2024	Pose Estimation	—Unverified
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images	Jul 9, 2024	DecoderObject	—Unverified

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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