Source code, data, and scripts for the PhD dissertation: Rendering Large-Scale Environments Efficiently
DOI:10.4121/35f29a40-4cf8-4b6c-8ee6-5dd863c5c829.v1
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DOI: 10.4121/35f29a40-4cf8-4b6c-8ee6-5dd863c5c829
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
Licence MIT
Interoperability
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.ResearchDataFormat
script/c++, script/cuda, script/python, image/jpegReferences
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Computer Graphics and VisualisationDATA
Files (1)
- 456,149,222 bytesMD5:
ff2c04a14fb19865b0ab9d236cccd5dd
rendering_large_scale_environments_efficiently.zip