About

This task aims to solve root-relative 3D multi-person pose estimation. No human bounding box and root joint coordinate groundtruth are used in testing time.

( Image credit: RootNet )

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

CVPR 2019 zju3dv/mvpose

This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.

3D MULTI-PERSON POSE ESTIMATION 3D POSE ESTIMATION

Monocular, One-stage, Regression of Multiple 3D People

27 Aug 2020Arthur151/CenterHMR

Through a body-center-guided sampling process, the body mesh parameters of all people in the image can be easily extracted from the Mesh Parameter map.

 Ranked #1 on 3D Human Pose Estimation on 3DPW (using extra training data)

3D MULTI-PERSON MESH RECOVERY

VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment

ECCV 2020 microsoft/voxelpose-pytorch

In contrast to the previous efforts which require to establish cross-view correspondence based on noisy and incomplete 2D pose estimations, we present an end-to-end solution which directly operates in the $3$D space, therefore avoids making incorrect decisions in the 2D space.

3D MULTI-PERSON POSE ESTIMATION

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

22 Dec 20203dpose/GnTCN

To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not require camera parameters.

3D ABSOLUTE HUMAN POSE ESTIMATION 3D MULTI-PERSON POSE ESTIMATION (ABSOLUTE) 3D MULTI-PERSON POSE ESTIMATION (ROOT-RELATIVE) 3D POSE ESTIMATION MONOCULAR 3D HUMAN POSE ESTIMATION MULTI-PERSON POSE ESTIMATION ROOT JOINT LOCALIZATION

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

5 Apr 20213dpose/3D-Multi-Person-Pose

Besides the integration of top-down and bottom-up networks, unlike existing pose discriminators that are designed solely for single person, and consequently cannot assess natural inter-person interactions, we propose a two-person pose discriminator that enforces natural two-person interactions.

3D MULTI-PERSON POSE ESTIMATION HUMAN DETECTION MULTI-PERSON POSE ESTIMATION