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
- Author version of the paper
- Project page
The method and system were developed on Unreal Engine 5
The provided porject files and implementation has been tested in Unreal Engine 5.0
@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},
}
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)
