Abstract
Generative AI is transforming architectural design, enabling everything from text-based concept generation to sketch animation and hyper-realistic renderings. This study examines whether Gen AI can go beyond visual inspiration to actually generate viable architectural designs. Twenty-one tools were tested using three input types, text prompts, sketches, and 3D models, across specific case studies. A total of 25 renderings were produced and analyzed. The evaluation focused on how well the outputs aligned with the inputs, as well as their structural and functional plausibility. Tools were assessed for their creative flexibility, fidelity to prompts, and architectural coherence. Findings reveal both the potential and current limitations of Gen AI in architectural practice.
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PDFDOI: http://dx.doi.org/10.2423/i22394303v15n2p145
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