Multi-Person Pose Estimation

81 papers with code • 11 benchmarks • 7 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 )


Use these libraries to find Multi-Person Pose Estimation models and implementations

Most implemented papers

Mask R-CNN

tensorflow/models 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.

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

CMU-Perceptual-Computing-Lab/openpose 18 Dec 2018

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 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 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 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.

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.

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.