UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

no code implementations • 25 Mar 2023 • David Rozenberszki, Or Litany, Angela Dai

We propose UnScene3D, the first fully unsupervised 3D learning approach for class-agnostic 3D instance segmentation of indoor scans.

3D Instance Segmentation Segmentation +1

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

1 code implementation • 16 Apr 2022 • David Rozenberszki, Or Litany, Angela Dai

Recent advances in 3D semantic segmentation with deep neural networks have shown remarkable success, with rapid performance increase on available datasets.

3D Semantic Segmentation Segmentation

LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps

1 code implementation • 3 Jul 2020 • David Rozenberszki, Andras Majdik

In this paper we deal with the problem of odometry and localization for Lidar-equipped vehicles driving in urban environments, where a premade target map exists to localize against.