Multi-Person Pose Estimation
73 papers with code • 11 benchmarks • 6 datasets
Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
( Image credit: Human Pose Estimation with TensorFlow )
Benchmarks
These leaderboards are used to track progress in Multi-Person Pose Estimation
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Libraries
Use these libraries to find Multi-Person Pose Estimation models and implementations
COCO
MPII
PoseTrack
CrowdPose
OCHuman
COCO-WholeBody
Most implemented papers
Mask R-CNN
matterport/Mask_RCNN
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ICCV 2017
Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
ZheC/Realtime_Multi-Person_Pose_Estimation
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CVPR 2017
We present an approach to efficiently detect the 2D pose of multiple people in an image.
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
CMU-Perceptual-Computing-Lab/openpose
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OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
leoxiaobin/deep-high-resolution-net.pytorch
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CVPR 2019
We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.
Simple Baselines for Human Pose Estimation and Tracking
leoxiaobin/pose.pytorch
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ECCV 2018
There has been significant progress on pose estimation and increasing interests on pose tracking in recent years.
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
HRNet/Higher-HRNet-Human-Pose-Estimation
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CVPR 2020
HigherHRNet even surpasses all top-down methods on CrowdPose test (67. 6% AP), suggesting its robustness in crowded scene.
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people.
RMPE: Regional Multi-person Pose Estimation
MVIG-SJTU/AlphaPose
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ICCV 2017
In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
osmr/imgclsmob
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In this work we adapt multi-person pose estimation architecture to use it on edge devices.
ArtTrack: Articulated Multi-person Tracking in the Wild
eldar/pose-tensorflow
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CVPR 2017
In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos.
