README.md

metadata

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 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 and other resources provided below.

Links

• Source Code
• Research Paper
• Hugging Face Space
• Opensourced Model
• Dataset

License

This project is licensed under the GNU GENERAL PUBLIC LICENSE. See the LICENSE file for details.