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From visual consistency to creative deviation: A study of image completion with AI in Zaha Hadid architecture
Abstract
AI tools have emerged as instruments that support formal speculation and imagination in architectural design. However, current algorithms may fail to fully comprehend the semantic relationships within architectural form which leads to inconsistencies in their outcomes. This study investigates to what extent inpainting tools, through different prompt and masking strategies, can complete masked architectural images in a manner consistent to the original and when they begin to produce creative deviations. The sample consists of ten buildings by Zaha Hadid Architects, widely recognized in architectural literature for their coherent and distinctive formal language. Facade images were partially masked at different ratios and completed using FLUX-1, an inpainting tool based on Stable Diffusion. The results were evaluated qualitatively in terms of formal continuity and architectural language and quantitatively using the Structural Similarity Index (SSIM). Findings reveal that as the masking ratio increases, the interpretive capacity of the AI tool becomes more pronounced.
Keywords
Ethical Statement
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References
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Details
Primary Language
English
Subjects
Arts and Cultural Policy
Journal Section
Research Article
Authors
Publication Date
October 22, 2025
Submission Date
July 16, 2025
Acceptance Date
October 7, 2025
Published in Issue
Year 2025 Number: Yapay zekâ ve sanat özel sayısı