NATURE-INSPIRED DESIGN IDEA GENERATION WITH GENERATIVE ADVERSARIAL NETWORKS
نویسندگان
چکیده
Generating new, creative, and innovative ideas in the early stages of design process is crucial for developing better original products. Human designers may become too attached to specific ideas, preventing them from generating new concepts achieving ideal designs. To come up with a designer needs have creative mind, as well knowledge, experience, talent. Verbal, written, visual sources inspiration can also be valuable concepts. This study presents integration model that uses data-supported Artificial Intelligence (AI) method generate ideas. The proposed based on generative adversarial network (GAN) combines target object biological images produce product inspired by nature. was successfully applied an aircraft problem resulting sketches variants case study. It seen this approach improved quality produced simplified idea concept generation process.
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ژورنال
عنوان ژورنال: International journal of 3d printing technologies and digital industry
سال: 2023
ISSN: ['2602-3350']
DOI: https://doi.org/10.46519/ij3dptdi.1239487