Gpt-cope: A graph-guided point transformer for category-level object pose estimation
Category-level object pose estimation aims to predict the 6D pose and 3D metric size of
objects from given categories. Due to significant intra-class shape variations among different …
objects from given categories. Due to significant intra-class shape variations among different …
MSSPA-GC: Multi-Scale Shape Prior Adaptation with 3D Graph Convolutions for Category-Level Object Pose Estimation
Category-level object pose estimation aims to predict the 6D object pose and size of
arbitrary objects from known categories. It remains a challenge due to the large intra-class …
arbitrary objects from known categories. It remains a challenge due to the large intra-class …
Sdfest: Categorical pose and shape estimation of objects from rgb-d using signed distance fields
Rich geometric understanding of the world is an important component of many robotic
applications such as planning and manipulation. In this paper, we present a modular …
applications such as planning and manipulation. In this paper, we present a modular …
Probabilistic 3d regression with projected huber distribution
Estimating probability distributions which describe where an object is likely to be from
camera data is a task with many applications. In this work we describe properties which we …
camera data is a task with many applications. In this work we describe properties which we …