Floor Plan Generation from Text Inputs

Introduction

This project focuses on generating floor plans from textual descriptions. It converts structured text inputs describing the attributes and connections of various rooms into visual floor plans, supporting both 2D and 3D visualizations. This tool can be particularly useful for architects, interior designers, and hobbyists interested in creating quick floor plan prototypes.

Features

  • Text to Floor Plan: Convert plain text descriptions of floor layouts into detailed graphical representations.
  • 2D and 3D Visualization: Supports generating both 2D and 3D models of the described floor layout.
  • Dynamic Adjustments: Dynamically calculate room relationships and dimensions based on textual input.
  • Enhancements with AI: Utilize image inpainting techniques to enhance artistic elements of the generated floor plans.

Research Papers

Title

Paper Link

Tell2Design

House Diffusion

Dataset of Floor Plan

Research work on Floor Plan Image Analysis

Graph2Plan: Learning Floorplan Generation from Layout Graphs

FloorplanGAN: Vector residential floorplan adversarial generation

Graph Transformer GANs for Graph-Constrained House Generation

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement

Automatic Generation of AI-powered Architectural Floor Plans using Grid Data

Automation in Construction

A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans

Squarified Treemaps

Apartment Floor Plans Generation via Generative Adversarial Networks

Architectural Drawings Recognition and Generation through Machine Learning

Evolutionary Methods in House Floor Plan Design