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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 51–75 of 233 papers

TitleStatusHype
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
Coupled Iterative Refinement for 6D Multi-Object Pose EstimationCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose EstimationCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationCode1
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationCode1
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects—0
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction—0
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning—0
6D Object Pose Estimation using Keypoints and Part Affinity Fields—0
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