Style Brush: Guided Style Transfer for 3D Objects

Information

• Publication Type: Journal Paper (without talk)
• Workgroup(s)/Project(s): not specified
• Date: February 2026
• Article Number: e70308
• DOI: 10.1111/cgf.70308
• ISSN: 1467-8659
• Journal: Computer Graphics Forum
• Pages: 18
• Publisher: WILEY
• Keywords: 3D style transfer, directional guidance, mesh texture synthesis, user guidance

Abstract

We introduce Style Brush, a novel style transfer method for textured meshes designed to empower artists with fine-grained control over the stylization process. Our approach extends traditional 3D style transfer methods by introducing a novel loss function that captures style directionality, supports multiple style images or portions thereof and enables smooth transitions between styles in the synthesized texture. The use of easily generated guiding textures streamlines user interaction, making our approach accessible to a broad audience. Extensive evaluations with various meshes, style images and contour shapes demonstrate the flexibility of our method and showcase the visual appeal of the generated textures. Finally, the results of a user study indicate that our approach generates visually appealing mesh textures that adhere to user-defined guidance and enable users to retain creative control during stylization. Our implementation is available on: https://github.com/AronKovacs/style-brush.

Additional Files and Images

Weblinks

• Entry in reposiTUm (TU Wien Publication Database)
• DOI: 10.1111/cgf.70308

BibTeX

@article{kovacs-2026-sbg,
  title =      "Style Brush: Guided Style Transfer for 3D Objects",
  author =     "Áron Samuel Kov\'{a}cs and Pedro Hermosilla and Renata
               Raidou",
  year =       "2026",
  abstract =   "We introduce Style Brush, a novel style transfer method for
               textured meshes designed to empower artists with
               fine-grained control over the stylization process. Our
               approach extends traditional 3D style transfer methods by
               introducing a novel loss function that captures style
               directionality, supports multiple style images or portions
               thereof and enables smooth transitions between styles in the
               synthesized texture. The use of easily generated guiding
               textures streamlines user interaction, making our approach
               accessible to a broad audience. Extensive evaluations with
               various meshes, style images and contour shapes demonstrate
               the flexibility of our method and showcase the visual appeal
               of the generated textures. Finally, the results of a user
               study indicate that our approach generates visually
               appealing mesh textures that adhere to user-defined guidance
               and enable users to retain creative control during
               stylization. Our implementation is available on:
               https://github.com/AronKovacs/style-brush.",
  month =      feb,
  articleno =  "e70308",
  doi =        "10.1111/cgf.70308",
  issn =       "1467-8659",
  journal =    "Computer Graphics Forum",
  pages =      "18",
  publisher =  "WILEY",
  keywords =   "3D style transfer, directional guidance, mesh texture
               synthesis, user guidance",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2026/kovacs-2026-sbg/",
}