Processing Geometric relationships and organic formations as inspiration for digital media arts applications with the help of generative artificial intelligence | ||||
| ERU Research Journal | ||||
| Volume 4, Issue 3, July 2025, Page 3011-3029 PDF (2.54 MB) | ||||
| Document Type: Short communication | ||||
| DOI: 10.21608/erurj.2025.357325.1221 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Taghreed Abdelmeguid  
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| Digital Media Department, Fine Arts, Egyptian Russian University, Cairo,Egypt. | ||||
| Abstract | ||||
| Throughout ages, fine art has relied on natural elements as a source of inspiration, as the artist dealt with the existing objects either through precise visual representation or with self-expression associated with intellectual perception. Here emerges the dialectic of visual truth, which is related to what the eye sees, and intellectual truth, which reflects the vision of mind and emotions. Geometric and organic formations played a pivotal role in expressing the relationship between objectivity and subjectivity, as organic formations were used to express subjective emotions or to mimic nature, while geometric relationships embodied scientific or subjective laws. With the emergence of modern art, such as cubism and abstraction, artists re-explored reality with innovative geometric forms. The development in digital media has made it possible to integrate geometric and organic to create innovative visual experiences, with generative AI being used as a supportive tool to generate new ideas. Despite concerns about intellectual property rights, platforms like Adobe Firefly have facilitated the use of licensed content to protect rights. The artistic experiment presented for research, which mixes geometric relationships and organic formations, using artificial intelligence techniques, is a model of creativity without violating intellectual property, by applying it to original works produced by the researcher. | ||||
| Keywords | ||||
| Digital Media Arts; Geometric Abstraction; Organic Abstraction; Objectivity and Subjectivity; Generative Artificial Intelligence | ||||
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