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.
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 "
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.
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
Pytorch demo code and models for Multi-HMR
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
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