Awesome work on object 6 DoF pose estimation
-
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)
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
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)
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.
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)
Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter
[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation (ICRA 2023)
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.
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
Add a description, image, and links to the object-pose-estimation topic page so that developers can more easily learn about it.
To associate your repository with the object-pose-estimation topic, visit your repo's landing page and select "manage topics."