Source code, data, and scripts for the PhD dissertation: Rendering Large-Scale Environments Efficiently

DOI:10.4121/35f29a40-4cf8-4b6c-8ee6-5dd863c5c829.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/35f29a40-4cf8-4b6c-8ee6-5dd863c5c829

Datacite citation style

Molenaar, Mathijs; Eisemann, Elmar (2025): Source code, data, and scripts for the PhD dissertation: Rendering Large-Scale Environments Efficiently. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/35f29a40-4cf8-4b6c-8ee6-5dd863c5c829.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

A zip file containing the source code, data and scripts for the PhD dissertation titled "Rendering Large-Scale Environments Efficiently". In this dissertation we address several challenges surrounding the Sparse Voxel Directed Acyclic Graph data structure. For this work we developed various implementations to evaluate the (run-time) performance of our solutions. This repository contains the source code, data, and plotting scripts for each chapter of the dissertation.

History

  • 2025-05-21 first online, published, posted

Publisher

4TU.ResearchData

Format

script/c++, script/cuda, script/python, image/jpeg

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Computer Graphics and Visualisation

DATA

Files (1)