GitHub

FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups. Our approach can be instantly applied at test-time ...
IEEE

Learning 6D Object Pose Estimation with Event Cameras Using Synthetic Data and Domain Randomization

Abstract: Estimating the 6D pose of rigid objects is a critical upstream task in many robotics applications. Most existing methods rely on RGB or RGB-D sensing modalities, which suffer from ...
IEEE

Language-Assisted Reconstruction for Self-Supervised Category-level 6D Object Pose Estimation with Coarse-to-Fine Correspondence Optimization

Abstract: Self-supervised category-level 6D pose estimation has emerged as a task of paramount significance within the field of computer vision. Despite recent advancements, current self-supervised ...