[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
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Updated
May 24, 2024 - Python
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
[ECCV2022] DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation
[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
A lightweight tool for labeling 3D bounding boxes in point clouds.
Method-independent quality assessment of object pose estimation from single images
Deep Stereo RGB-only Dense 6D Object Pose Estimation
6D pose estimation using sampling-based Bayesian inference algorithms. Produced the results of Tim Redick's dissertation.
Create ground truth pose for 6D Pose Estimation given an object mesh and related RGB image.
Code for "MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6D Object Pose Estimation" (TNNLS 2024).
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
Code for "Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation" (TII 2023).
For my thesis at TU Delft for the Master Robotics
ESKF based Object Pose estimation framework.
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation (CVPR 2023)
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
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