Multi Person Support on HRNets
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Updated
May 9, 2020 - Python
Multi Person Support on HRNets
Real-time 3D multi-person pose estimation demo on Jetson TX2 with TensorRT.
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
mPose3D, a mmWave-based 3D human pose estimation model.
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
A part of code for "Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation"
This repo equips the official CLIFF [ECCV 2022 Oral] with better detector, better tracker. Support multi-person, motion interpolation, motion smooth and SMPLify fitting.
Bottom-up whole-body pose estimation method in constant time.
[ICLR 2023] Official implementation of the paper "Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation "
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Keypoint Challenge Winner and Best Paper Award)
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
PyTorch (from scratch) implementation and training of HigherHRNet.
Pytorch demo code and models for Multi-HMR
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