Multi-Person Pose Estimation

59 papers with code • 10 benchmarks • 5 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 )

Libraries

Use these libraries to find Multi-Person Pose Estimation models and implementations
10 papers
1,927
4 papers
2,558
2 papers
2,782
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Most implemented papers

Mask R-CNN

matterport/Mask_RCNN 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 CVPR 2017

We present an approach to efficiently detect the 2D pose of multiple people in an image.

Deep High-Resolution Representation Learning for Human Pose Estimation

leoxiaobin/deep-high-resolution-net.pytorch 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.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

HRNet/Higher-HRNet-Human-Pose-Estimation 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

DeepLabCut/DeepLabCut 10 May 2016

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people.

Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

osmr/imgclsmob 29 Nov 2018

In this work we adapt multi-person pose estimation architecture to use it on edge devices.

RMPE: Regional Multi-person Pose Estimation

MVIG-SJTU/AlphaPose 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.

ArtTrack: Articulated Multi-person Tracking in the Wild

eldar/pose-tensorflow CVPR 2017

In this paper we propose an approach for articulated tracking of multiple people in unconstrained videos.

DirectPose: Direct End-to-End Multi-Person Pose Estimation

aim-uofa/adet 18 Nov 2019

We propose the first direct end-to-end multi-person pose estimation framework, termed DirectPose.

Distribution-Aware Coordinate Representation for Human Pose Estimation

leoxiaobin/deep-high-resolution-net.pytorch CVPR 2020

Interestingly, we found that the process of decoding the predicted heatmaps into the final joint coordinates in the original image space is surprisingly significant for human pose estimation performance, which nevertheless was not recognised before.