Pierre Ecormier-NoccaORCID iD, Lukas LippORCID iD, Annalena UlschmidORCID iD, David HahnORCID iD, Michael WimmerORCID iD
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, pages 113-126. 2025.

Information

  • Publication Type: Conference Paper
  • Workgroup(s)/Project(s):
  • Date: 2025
  • ISBN: 978-989-758-728-3
  • Publisher: SciTePress
  • Location: Porto
  • Lecturer: Annalena UlschmidORCID iD
  • Event: IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
  • DOI: 10.5220/0013193900003912
  • Booktitle: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP
  • Pages: 14
  • Volume: 1
  • Conference date: 26. February 2025 – 28. March 2025
  • Pages: 113 – 126
  • Keywords: 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.

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BibTeX

@inproceedings{ecormier-nocca-2025-sls,
  title =      "Single-Exemplar Lighting Style Transfer via Emissive Texture
               Synthesis and Optimization",
  author =     "Pierre Ecormier-Nocca and Lukas Lipp and Annalena Ulschmid
               and David Hahn and Michael Wimmer",
  year =       "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 altern ative choices in an ablation study.",
  isbn =       "978-989-758-728-3",
  publisher =  "SciTePress",
  location =   "Porto",
  event =      "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint
               Conference on Computer Vision, Imaging and Computer Graphics
               Theory and Applications.",
  doi =        "10.5220/0013193900003912",
  booktitle =  "Proceedings of the 20th International Joint Conference on
               Computer Vision, Imaging and Computer Graphics Theory and
               Applications - GRAPP",
  pages =      "14",
  volume =     "1",
  pages =      "113--126",
  keywords =   "Lighting Design, Lighting Style Ttransfer, Texture
               Synthesis, Lighting Optimization",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/",
}