Beautimeter: Harnessing GPT for Assessing Architectural and Urban Beauty based on the 15 Properties of Living Structure
Bin Jiang

TL;DR
Beautimeter utilizes GPT technology to evaluate architectural and urban beauty based on Christopher Alexander's 15 properties of living structure, providing nuanced aesthetic assessments across diverse environments.
Contribution
This work introduces a novel AI-powered tool that applies Alexander's properties to assess beauty, integrating GPT for natural language analysis in architecture and urban design.
Findings
Effective analysis of diverse environments
Demonstrated alignment with human aesthetic perceptions
Potential to enhance design and evaluation processes
Abstract
Beautimeter is a new tool powered by generative pre-trained transformer (GPT) technology, designed to evaluate architectural and urban beauty. Rooted in Christopher Alexander's theory of centers, this work builds on the idea that all environments possess, to varying degrees, an innate sense of life. Alexander identified 15 fundamental properties, such as levels of scale and thick boundaries, that characterize living structure, which Beautimeter uses as a basis for its analysis. By integrating GPT's advanced natural language processing capabilities, Beautimeter assesses the extent to which a structure embodies these 15 properties, enabling a nuanced evaluation of architectural and urban aesthetics. Using ChatGPT, the tool helps users generate insights into the perceived beauty and coherence of spaces. We conducted a series of case studies, evaluating images of architectural and urban…
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Taxonomy
TopicsColor perception and design
MethodsRefunds@Expedia|||How do I get a full refund from Expedia? · Cosine Annealing · Dropout · Linear Warmup With Cosine Annealing · Linear Layer · Dense Connections · Discriminative Fine-Tuning · Layer Normalization · Attention Dropout · Multi-Head Attention
