Analysis of Relevance and Appeal of Visual Presentation of Meat Products Generated Using Artificial Intelligence
2025
Lucija Brina Arvaj | Tatjana Šubic | Jure Ahtik
This article examines the application of generative artificial intelligence (GenAI) in visualizing meat products and evaluates its potential for use in the food industry. The study compares AI-generated images with conventional photographs in terms of professional accuracy and visual appeal. In a cited preliminary study, images of ten selected meat dishes were generated and evaluated by food technology professionals through a survey focused on realism and technical adequacy. Following this, comparable photographs were taken, and a second survey gathered feedback from the public on the appeal of both image types. Results revealed that while AI-generated images often lacked accuracy in texture, color, and structure, particularly for complex meat products, they were generally rated as more visually appealing by the public. This indicates that although current GenAI tools are not yet suitable for precise professional representation of meat products, they show strong potential for use in marketing and promotional content, where aesthetic appeal may outweigh technical accuracy. The findings suggest that with further development, AI-generated visuals could become more viable for professional applications in the food industry. In such cases, using accurate photographic references remains essential to ensure credibility and realism in food-related visual communication.
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