Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization

Pierre Ecormier-Nocca, Lukas Lipp, Annalena Ulschmid, David Hahn, Michael Wimmer

2025

Abstract

Lighting is a key component in how scenes are perceived. However, many interior lighting situations are currently either handcrafted by expert designers, or simply consist of basic regular arrangements of luminaires, such as to reach uniform lighting at a predefined brightness. Our method aims to bring more interesting lighting configurations to various scenes in a semi-automatic manner designed for fast prototyping by non-expert users. Starting from a single photograph of a lighting configuration, we allow users to quickly copy and adapt a lighting style to any 3D scene. Combining image analysis, texture synthesis, and light parameter optimization, we produce a lighting design for the target 3D scene matching the input image. We validate via a user study that our results successfully transfer the desired lighting style more accurately and realistically than state-of-the-art generic style transfer methods. Furthermore, we investigate the behaviour of our method under potential alternative choices in an ablation study.

Paper Citation

in Harvard Style

Ecormier-Nocca P., Lipp L., Ulschmid A., Hahn D. and Wimmer M. (2025). Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-728-3, SciTePress, pages 113-126. DOI: 10.5220/0013193900003912

in Bibtex Style

@conference{grapp25,
author={Pierre Ecormier-Nocca and Lukas Lipp and Annalena Ulschmid and David Hahn and Michael Wimmer},
title={Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2025},
pages={113-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013193900003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization
SN - 978-989-758-728-3
AU - Ecormier-Nocca P.
AU - Lipp L.
AU - Ulschmid A.
AU - Hahn D.
AU - Wimmer M.
PY - 2025
SP - 113
EP - 126
DO - 10.5220/0013193900003912
PB - SciTePress