HybridPose
Object Pose Estimator
Implementation of a 6D object pose estimation method using hybrid representations
HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)
422 stars
15 watching
64 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An implementation of human instance segmentation based on pose estimation | 529 |
| | Real-time pose estimation for mobile devices using deep neural networks and optimized models. | 1,003 |
| | A high-performance pose estimation library for building custom applications. | 1,257 |
| | Estimates object poses and positions in 3D space from RGB images | 1,031 |
| | Detects humans and estimates their poses in images using a machine learning model based on OpenPose | 65 |
| | A deep learning framework for multi-view fusion network-based 3D human motion capture system | 52 |
| | A PyTorch implementation of a 3D human pose estimation algorithm using weak supervision. | 613 |
| | Human pose estimation using deep learning and TensorFlow | 1,138 |
| | An optimization approach for long-term 6D pose tracking of objects in video sequences using synthetic data and a novel neural network architecture. | 391 |
| | This repository provides software tools and pre-trained models for estimating 3D human shape and pose from dense body parts | 233 |
| | A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image | 825 |
| | An implementation of an expressive human pose and shape estimation system using deep learning techniques | 1,027 |
| | Demonstration code for human pose estimation using stacked hourglass networks | 316 |
| | Training and experimentation code for human pose estimation using stacked hourglass networks. | 575 |
| | A PyTorch toolkit for 2D human pose estimation with support for multi-thread data loading, multi-GPU training, and visualization. | 1,109 |