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 101110 of 233 papers

TitleStatusHype
COPE: End-to-end trainable Constant Runtime Object Pose Estimation0
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation0
6D Pose Estimation using an Improved Method based on Point Pair Features0
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search0
Challenges for Monocular 6D Object Pose Estimation in Robotics0
Going Further with Point Pair Features0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects0
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation0
Any6D: Model-free 6D Pose Estimation of Novel Objects0
Show:102550
← PrevPage 11 of 24Next →

No leaderboard results yet.