SOTAVerified

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 226233 of 233 papers

TitleStatusHype
PAM:Point-wise Attention Module for 6D Object Pose Estimation0
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects0
Photorealistic Image Synthesis for Object Instance Detection0
PhysPose: Refining 6D Object Poses with Physical Constraints0
Polarimetric Pose Prediction0
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy0
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning0
Pose Estimation of Specific Rigid Objects0
Show:102550
← PrevPage 10 of 10Next →

No leaderboard results yet.