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Authors: Pierre Ecormier-Nocca ; Lukas Lipp ; Annalena Ulschmid ; David Hahn and Michael Wimmer

Affiliation: Institute of Visual Computing and Human-Centered Technology, TU Wien, Vienna, Austria

Keyword(s): Lighting Design, Lighting Style Ttransfer, Texture Synthesis, Lighting Optimization.

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 altern ative choices in an ablation study. (More)

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Paper citation in several formats:
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 - GRAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 113-126. DOI: 10.5220/0013193900003912

@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 - GRAPP},
year={2025},
pages={113-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013193900003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP
TI - Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization
SN - 978-989-758-728-3
IS - 2184-4321
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

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