multi-person-pose-estimation

Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.

"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

This repo equips the official CLIFF [ECCV 2022 Oral] with better detector, better tracker. Support multi-person, motion interpolation, motion smooth and SMPLify fitting.

[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

mPose3D, a mmWave-based 3D human pose estimation model.

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

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

Bottom-up whole-body pose estimation method in constant time.

A part of code for "Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation"

Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"

Real-time 3D multi-person pose estimation demo on Jetson TX2 with TensorRT.

PyTorch (from scratch) implementation and training of HigherHRNet.

Run high-performance 3D body pose estimation and motion capture in C++ using ONNX Runtime with zero Python dependencies.