Awesome work on object 6 DoF pose estimation
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Updated
Jul 29, 2024
Awesome work on object 6 DoF pose estimation
Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
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.
SurfEmb (CVPR 2022)
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.
[TPAMI 2025] Code for "Diff9D: Diffusion-Based Domain-Generalized Category-Level 9DoF Object Pose Estimation".
This project presents a hybrid vision-based bin-picking system for collaborative robots. It combines deep learning (YOLOv5) for coarse object detection and classical computer vision algorithms (FAST + BRISK) for precise pose estimation. The system is implemented using the ROS and a low-cost Intel RealSense D435i depth camera.
[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)
Code for "Novel Object 6D Pose Estimation with a Single Reference View".
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation (ICRA 2023)
Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter
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