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Opening Design using Bayesian Optimization

Overview

Opening Design using Bayesian Optimization

This repository contains the source code that is part of the supplemental material for the Paper: Opening Design using Bayesian Optimization that was presented in CGI 2023. The contents are:

  • Source code
  • Unreal Engine project file
  • 3rd Party pre-compiled libraries
  • Test scenes

Some additional quick links

The method and system were developed on Unreal Engine 5 Image

Table of Contents

Acknowledgments

The provided porject files and implementation has been tested in Unreal Engine 5.0

How to Cite

@article{VITSAS2023550,
title = {Opening Design using Bayesian Optimization},
journal = {Virtual Reality & Intelligent Hardware},
volume = {5},
number = {6},
pages = {550-564},
year = {2023},
issn = {2096-5796},
doi = {https://doi.org/10.1016/j.vrih.2023.06.001},
url = {https://www.sciencedirect.com/science/article/pii/S2096579623000256},
author = {Nick Vitsas and Iordanis Evangelou and Georgios Papaioannou and Anastasios Gkaravelis},
keywords = {Inverse Geometry, Lighting Simulation, Scene Synthesis},
}

Acknowledgments

The project uses a slightly modified version of the BayesOpt for Bayesian Optimization.

The research project was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “3rd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers”(Project Number: 7310, LOTUS)

Image