3D Synthesis for Architectural Design

Abstract

We introduce a 3D synthesis method for architectural design to allow for the efficient generation of diverse and realistic building designs. In spite of advances in 3D synthesis current off-the-shelf 3D synthesis techniques are inappropriate for architectural design: they are trained primarily on isolated objects have limited diversity blend building facades with background and produce overly complex geometry that is difficult to edit or manipulate a major issue in an iterative design process. We propose an alternative pipeline that integrates auto-generated coarse models with segment-wise texture inpainting and semantics-based editing resulting in diverse style-consistent and shape-precise designs. We show through qualitative and quantitative experiments that our pipeline generates more diverse visually appealing architectures with clean geometries without the need for any extensive training.

Cite

Text

Tsai and Hariharan. "3D Synthesis for Architectural Design." Winter Conference on Applications of Computer Vision, 2025.

Markdown

[Tsai and Hariharan. "3D Synthesis for Architectural Design." Winter Conference on Applications of Computer Vision, 2025.](https://mlanthology.org/wacv/2025/tsai2025wacv-3d/)

BibTeX

@inproceedings{tsai2025wacv-3d,
  title     = {{3D Synthesis for Architectural Design}},
  author    = {Tsai, I-Ting and Hariharan, Bharath},
  booktitle = {Winter Conference on Applications of Computer Vision},
  year      = {2025},
  pages     = {4799-4809},
  url       = {https://mlanthology.org/wacv/2025/tsai2025wacv-3d/}
}