#计算机科学#A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
#计算机科学#A lightweight tool for labeling 3D bounding boxes in point clouds.
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
翻译 - [IROS 2021] BundleTrack：无实例或类别级 3D 模型的新型对象的 6D 姿态跟踪
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.
#计算机科学#Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
Recent papers about generalizable 6DoF object pose estimation.
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"
#计算机科学#[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
#计算机科学#[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
#计算机科学#6DoF Pose Estimation using Neural Radiance Fields
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild, ICLR 2023
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
The official training code of ICCV2019 paper "CDPN: Coordinates-based Disentangled Pose Network for Real-time RGB-based 6-DoF Object Pose Estimation".
#计算机科学#Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.