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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

Showing 4150 of 233 papers

TitleStatusHype
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
Occlusion-Robust Object Pose Estimation with Holistic RepresentationCode1
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose EstimationCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
RePOSE: Fast 6D Object Pose Refinement via Deep Texture RenderingCode1
Wide-Depth-Range 6D Object Pose Estimation in SpaceCode1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation MechanismCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
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