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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 51–60 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
BOP: Benchmark for 6D Object Pose EstimationCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
Real-time Holistic Robot Pose Estimation with Unknown StatesCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion ModelsCode1
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose OptimizationCode1
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