Awesome work on object 6 DoF pose estimation

Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)

[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper

[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2

Real-time robotic object pose estimation with deep learning

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

SurfEmb (CVPR 2022)

Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.

SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation

🚀 A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter

A single-shot learning-based approach to hand and object pose estimation, made available on a head-mounted display.

Toolbox to evaluate categorical pose and shape estimation methods

CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation (ICRA 2023)

Code for DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss (ECCVW 2020)

Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"

Automate bin-picking tasks using the Dobot CR5 robotic arm. The system combines YOLOv5 for object detection and FAST/BRISK for feature detection and matching. With a depth sensor camera, we achieve real-time object detection and precise pose estimation, improving industrial automation and operational efficiency.