Summary of Generating Floorplans For Various Building Functionalities Via Latent Diffusion Model, by Mohamed R. Ibrahim et al.
Generating floorplans for various building functionalities via latent diffusion model
by Mohamed R. Ibrahim, Josef Musil, Irene Gallou
First submitted to arxiv on: 9 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a generative latent diffusion model for creating floorplans based on building footprints and design briefs. The model learns from the complexity of inter-connections between diverse building types and architectural designs, surpassing conventional limitations in the design process. It can replicate existing designs and produce entirely new configurations that fuse design elements in unexpected ways, introducing a new dimension of creativity into architectural design. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps architects, urban planners, and even individuals without specialized expertise to explore uncharted territories of form and function with speed and cost-effectiveness. The model learns from the complexity of floorplans and can generate creative designs that fuse different elements together in innovative ways. |
Keywords
» Artificial intelligence » Diffusion model
