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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 76–100 of 233 papers

TitleStatusHype
BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation—0
PhysPose: Refining 6D Object Poses with Physical Constraints—0
Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image EncodersCode0
Any6D: Model-free 6D Pose Estimation of Novel Objects—0
Multi-Modal 3D Mesh Reconstruction from Images and Text—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection—0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow—0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy—0
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation—0
A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation—0
Level-Set Parameters: Novel Representation for 3D Shape AnalysisCode0
Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion—0
Targeted Hard Sample Synthesis Based on Estimated Pose and Occlusion Error for Improved Object Pose Estimation—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting—0
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose EstimationCode0
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation—0
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation—0
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
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