README.md

---
title: Ve Gans
emoji: 🏠
colorFrom: yellow
colorTo: indigo
sdk: streamlit
sdk_version: 1.29.0
app_file: space.py
pinned: false
license: openrail
---

# Ve-gans

Ve-gans is an ongoing research project focused on developing a generative AI model specifically designed to generate floorplans and architectural drawings. The project aims to advance the capabilities of GANs (Generative Adversarial Networks) in the field of architectural design.

## Project Highlights

The highlight of this project is the [research paper](https://docs.google.com/document/d/1nm6Pj3HaDo-W2HAQPPrgGqWIH74SPgQZAHxC5Uk20PQ/edit?usp=sharing) that is being written, detailing the methodologies, experiments, and findings related to the generation of architectural designs using GANs.

## Features

- **Generative AI for Architecture**: Specially designed to generate floorplans and architectural drawings.
- **Advanced GAN Techniques**: Utilizes cutting-edge GAN methodologies to create detailed and realistic architectural designs.
- **Research-Driven**: The development process is guided by rigorous research and experimentation.

## Usage

To use the Ve-gans model and explore its capabilities, refer to the [source code](https://github.com/zaibutcooler/ve-gans) and other resources provided below.

## Links

- [Source Code](https://github.com/zaibutcooler/ve-gans)
- [Research Paper](https://docs.google.com/document/d/1nm6Pj3HaDo-W2HAQPPrgGqWIH74SPgQZAHxC5Uk20PQ/edit?usp=sharing)
- [Hugging Face Space](https://huggingface.co/spaces/zaibutcooler/ve-gans)
- [Opensourced Model](https://huggingface.com/zaibutcooler/ve-gans)
- [Dataset](https://huggingface.co/datasets/zaibutcooler/archi-12k)

## License

This project is licensed under the GNU GENERAL PUBLIC LICENSE. See the [LICENSE](LICENSE) file for details.