Abstract: This paper presents a detailed review of recent advancements in 3D indoor scene segmentation driven by deep learning techniques. It provides an overview of existing segmentation models, ...
Abstract: Open vocabulary 3D instance segmentation aims to align 3D instance segmentation results with natural language text, thereby achieving semantic prediction without relying on predefined class ...
Partitioning 3D point clouds using an irregular grid simplifies tree segmentation in digital forests
The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests Digital twin forests are datasets in which every tree in a ...
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...
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I Switched 3D Printing Slicers & You Should Too
In this video, I share my 6 reasons for switching from PrusaSlicer to Orca Slicer. 🎥 IN THIS VIDEO: 🎥 00:00 Introduction 00:25 What Is Orca Slicer? 01:30 Reason No. 1: Compatibility With More 3D ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
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Improve your 3D printing game with Orca Slicer
In this video, you'll learn how to effectively use Orca Slicer for enhanced 3D printing results. The right adjustments in your slicer software can significantly impact the outcome of your prints. This ...
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