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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 61–70 of 233 papers

TitleStatusHype
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose OptimizationCode1
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildCode1
CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose EstimationCode1
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
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