Utilizing Deep Learning to Generate Biomorphic Furniture Design: A Generative Approach

Asmaa Medhat Abd EL Aziz Mostafa, Assistant Lecturer, Department of Interior and Furniture Design, Faculty of Applied Arts, Helwan University, Egypt.Follow
Doaa Abdelrahman Mohamed Goda, Professor at the Faculty of Applied Arts, Helwan University
Dalia Mohamed Ezzat, Professor of Environmental Design and Program Leader of Interior Architecture and Design, School of Creative Arts, University of Hertfordshire

Abstract

This research paper highlights the relatively unexplored potential of deep learning, a branch of artificial intelligence, to radically transform design in general, and specifically in the field of furniture design, by creating new design concepts inspired by living organisms such as marine biology. The main objective of this research is to explore the role of deep learning and artificial intelligence as tools for generating innovative and novel furniture designs inspired by marine organisms (marine biology). The research followed experimental methodology through a prompt engineering-based protocol, using ChatGPT-4 to produce an optimized prompt to be subsequently used on the (Prome AI) website, which relies on generating images from text. The experiment resulted in the production of three high-resolution and aesthetically pleasing conceptual designs, inspired by a marine organism (the comb jelly). The three designs were qualitatively evaluated based on three main pillars: biological abstraction, ecological symbolism, and Adherence to Biomorphic Principles. The research results confirmed the hypothesis, as artificial intelligence and deep learning successfully produced innovative and original designs with high aesthetic appeal that reflect organic and fluid forms, mimicking the organisms from which they were inspired. However, the study showed that the resulting designs are still conceptual, prioritizing the creative and innovative aspects over the functional and technical aspects. Therefore, artificial intelligence and deep learning can contribute to expanding the scope of innovation, inspiration, and conceptual exploration from living organisms, which will encourage designers to adopt more innovative and bio-inspired approaches.

Recommended Citation

Mostafa, Asmaa Medhat Abd EL Aziz; Goda, Doaa Abdelrahman Mohamed; and Ezzat, Dalia Mohamed (2026) "Utilizing Deep Learning to Generate Biomorphic Furniture Design: A Generative Approach," Journal of Art, Design and Music: Vol. 5 : Iss. 2 , Article 2.
Available at: https://doi.org/10.55554/2785-9649.1081