Floor Plan: AI Generation on GPU

The Challenge: 60% of Listings Have No Floor Plan

A UK property portal hosting 250,000 active residential listings receives 15,000 new listings per month from 8,000 estate agency branches. Internal analytics show that listings with floor plans receive 52% more enquiries than those without — yet 60% of listings are uploaded without a floor plan. The primary reason: producing a professional floor plan costs estate agents £50-£100 per property and requires either a measured survey or specialist floor plan software, adding time and cost to the listing process. Most agents skip it, particularly for lower-value lettings and standard properties. The portal has tried offering discounted floor plan services but take-up remains below 15% because agents view it as an unnecessary expense for rental listings.

The portal wants to generate approximate floor plans automatically from listing photographs — using room images to estimate dimensions, identify room types, and produce a clean schematic layout. Even an approximate plan significantly outperforms no plan in engagement metrics.

AI Solution: Vision-Based Floor Plan Estimation

A vision model pipeline processes listing photographs to: identify room types from visual content (kitchen, living room, bedroom, bathroom), estimate room dimensions using monocular depth estimation and object size references, and arrange rooms into a coherent floor plan layout. The system uses Depth Anything or MiDaS for 3D understanding, room classification models for type identification, and a layout generation model to assemble the final plan.

The generated floor plan is presented as a clean, professional schematic with room labels and approximate dimensions. Running on a dedicated GPU server, the pipeline processes listings automatically as they are uploaded, adding a floor plan within minutes of the listing going live.

GPU Requirements

Processing 8-15 photographs per listing through depth estimation, room classification, and layout generation requires multiple model inference steps per listing. At 15,000 new listings monthly (roughly 700 per working day), the system needs consistent throughput.

For real-time processing as listings arrive (700 per day), an RTX 5090 handles the daily volume in under 9 hours. Private AI hosting ensures all property data remains within GDPR-compliant infrastructure.

Recommended Stack

• Depth Anything or MiDaS for monocular depth estimation from room photographs.
• Custom room classifier (fine-tuned EfficientNet) for identifying room types from images.
• Layout generation model converting room dimensions and types into 2D floor plan schematics.
• Pillow/Cairo for rendering clean, branded floor plan graphics from generated layouts.
• Portal API integration for automated floor plan attachment to listings on upload.

For enhancing the floor plan with 3D visualisations, add Stable Diffusion for rendering furnished room views from each plan room. Deploy an LLM via vLLM to generate room descriptions from the visual analysis. Add an AI chatbot for buyer search queries using floor plan data.

Cost Analysis

Adding floor plans to 60% of listings (9,000 per month) that currently lack them, at zero marginal cost per plan, drives a projected 52% increase in enquiries on those listings. At the portal’s average revenue per enquiry, this translates to approximately £135,000 in additional monthly revenue from improved listing engagement. The dedicated GPU server cost is negligible against this revenue uplift.

Estate agents benefit from higher-performing listings without additional cost or effort, strengthening their loyalty to the portal. The portal can also offer enhanced AI-generated floor plans as a premium feature, creating an additional revenue stream.

Getting Started

Compile a training dataset of 5,000 properties where you have both the listing photographs and a professionally produced floor plan. Train the dimension estimation and room classification models, validating against ground-truth measurements. Pilot on 1,000 listings, measuring the dimensional accuracy of AI-generated plans against professional plans where both exist. Deploy when AI plans achieve within 10% dimensional accuracy for room sizes.

GigaGPU provides UK-based dedicated GPU servers for property technology workloads. Scale processing capacity as your listing volume grows.