# End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph

arXiv: https://arxiv.org/abs/2012.08514 · HTML: https://mlsanity.com/paper/2012.08514/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Dec 2020.

## Built on by (most cited first, 2 of 2)

- [Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation](https://mlsanity.com/paper/2104.13316/) (2021)
- [Representation Learning for Sequential Volumetric Design Tasks](https://mlsanity.com/paper/2309.02583/) (2023)

## Abstract (arXiv)

In this paper, we propose an end-end model for producing furniture layout for interior scene synthesis from the random vector. This proposed model is aimed to support professional interior designers to produce the interior decoration solutions more quickly. The proposed model combines a conditional floor-plan module of the room, a conditional graphical floor-plan module of the room and a conditional layout module. As compared with the prior work on scene synthesis, our proposed three modules enhance the ability of auto-layout generation given the dimensional category of the room. We conduct our experiments on the proposed real-world interior layout dataset that contains 191208 designs from the professional designers. Our numerical results demonstrate that the proposed model yields higher-quality layouts in comparison with the state-of-the-art model. The dataset and code are released hrefhttps://github.com/CODE-SUBMIT/dataset3Dataset,Code