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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
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
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
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose EstimationCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
Revisiting Fully Convolutional Geometric Features for Object 6D Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-PickingCode1
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose EstimationCode1
Shape-Constraint Recurrent Flow for 6D Object Pose EstimationCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
Video based Object 6D Pose Estimation using TransformersCode1
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation MechanismCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
Deep Learning for Spacecraft Pose Estimation from Photorealistic RenderingCode0
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose EstimationCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose TrackingCode0
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature MatchingCode0
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