# Point Cloud Data Simulation and Modelling with Aize Workspace

Source: [Point Cloud Data Simulation and Modelling with Aize Workspace](<https://www.sota2.com/research/paper/68fa6e651e209131cea3fb33>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T00:56:59.119Z

Authors: Boris Mocialov, Eirik Eythorsson, Reza Parseh, Hoang Tran, Vegard Flovik

Published: 2023-01-19T08:47:31.000Z

## Abstract

This work takes a look at data models often used in digital twins and presents preliminary results specifically from surface reconstruction and semantic segmentation models trained using simulated data. This work is expected to serve as a ground work for future endeavours in data contextualisation inside a digital twin.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2301.07947>)

[PDF](<https://arxiv.org/pdf/2301.07947.pdf>)