AI-driven image generation for enhancing design in digital fabrication: urban furnishings in historic city centres

Giuseppe Fallacara, Maria Pia Fanti, Fabio Parisi, Nicola Parisi, Valentino Sangiorgio

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva


Artificial Intelligence (AI) technologies, such as deep learning and neural networks, are being widely used across various sectors with an unprecedented acceleration in recent years, particularly in the field of image generation. Indeed, such innovation is becoming a paradigm-shifting technology in the Architecture, Engineering, and Construction (AEC) sector specifically for the generation of highly detailed and visually compelling images of architectural projects. The AI algorithms, trained on vast datasets, enable users to automatically generate realistic representations of buildings, interiors, and urban landscapes starting from a text string. The potential of these technologies is significant, but the current literature lacks well-defined processes for effectively utilizing these techniques to achieve implementable projects. This paper proposes a novel design approach based on AI-driven Image Generation to support design for digital fabrication, consisting of three steps. Firstly, the conceptual design is defined along with a set of key-words. Secondly, the application of AI in image generation allows designers to efficiently explore a multitude of design possibilities. The AI-based tools facilitate the automatic generation of diverse design variants, aiding professionals in evaluating different options and enhancing their visualizations. Thirdly, by leveraging a synergistic set of techniques including image processing, 3D CAD design, and additive manufacturing, it is possible to transform the images suggested by AI into an actual project that can be effectively fabricated. Finally, the potential of the proposed approach is applied to the case of urban furnishings in historic city centers in southern Italy.

Idioma originalInglés
PublicaciónCEUR Workshop Proceedings
EstadoPublicada - 2023
Publicado de forma externa
Evento2nd International Satellite Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding, VIPERC 2023 - Zadar, Croacia
Duración: 25 set. 202326 set. 2023


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