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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 1–10 of 233 papers

TitleStatusHype
SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor VariationsCode0
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping—0
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References—0
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data—0
One2Any: One-Reference 6D Pose Estimation for Any Object—0
Category-Level and Open-Set Object Pose Estimation for Robotics—0
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
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