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6D Pose Estimation using RGB

6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.

( Image credit: Segmentation-driven 6D Object Pose Estimation )

Papers

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Showing 51–100 of 233 papers

TitleStatusHype
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile SensorsCode0
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationCode1
TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer—0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical RepresentationsCode1
Pseudo Flow Consistency for Self-Supervised 6D Object Pose EstimationCode1
Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction—0
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose EstimationCode1
Revisiting Fully Convolutional Geometric Features for Object 6D Pose EstimationCode1
Challenges for Monocular 6D Object Pose Estimation in Robotics—0
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation—0
TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement—0
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose EstimationCode1
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects—0
Shape-Constraint Recurrent Flow for 6D Object Pose EstimationCode1
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature MatchingCode0
Multi-View Keypoints for Reliable 6D Object Pose Estimation—0
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics—0
Rigidity-Aware Detection for 6D Object Pose EstimationCode1
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Modular Quantization-Aware Training for 6D Object Pose EstimationCode0
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects—0
Open Challenges for Monocular Single-shot 6D Object Pose Estimation—0
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation—0
Model-Based Underwater 6D Pose Estimation from RGB—0
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile SensorsCode0
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation—0
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose EstimationCode1
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation—0
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation—0
Context-aware 6D Pose Estimation of Known Objects using RGB-D data—0
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation—0
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding—0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationCode1
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers—0
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray—0
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationCode0
Video based Object 6D Pose Estimation using TransformersCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
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