Author(s)

Lan Ma, Qinjian Yang, Weixin Zhu

Corresponding Author

Lan Ma

Abstract

Under the background of the development of regional public brands and the increasing demand for digital design, it is of great significance to explore the semantic recognition and visual generation mechanism of artificial intelligence generated content (AIGC) to empower regional public brand packaging design. Firstly, this article expounds the relevant theoretical basis, including regional public brands, packaging design and AIGC theory. Then, the semantic recognition mechanism of AIGC-enabled regional public brand packaging design is analyzed. The semantics are divided into three categories: product information, regional culture and brand concept. It is analyzed by natural language processing (NLP) and image recognition technology, which is influenced by data quality and model algorithm. Then, the mechanism of visual generation is studied, and the corresponding visual elements are generated according to semantics, which are combined according to central focus, symmetry and dispersion. The study reveals the inherent law of semantic understanding and visual transformation of AIGC in the packaging design of regional public brands, which provides support for improving the design level and promotes the innovative development of regional public brands with AIGC.

Keywords

AIGC; Regional Public Brands; Packaging Design; Semantic Recognition; Visual Generation