A stylized generation approach for poster background graphic design based on light elements

With the increasing popularity of e-commerce, product poster design plays a vital role. To meet the demand for fast, efficient, and diversified design needs, automated poster design has become one of the important research directions. This work investigates the stylized generation of background graphic design based on light elements. Particularly, the research summarizes the characteristics and functions of light elements used in poster design, determines the generation parameters and rules of light elements referring to the principles of photographic lighting, then matches the color of light elements with the theme color of the product, and identifies the generated backgrounds best matching users’ semantic needs. Particularly, BP neural network was employed to realize the selection of the high-quality background designs. Based on the above procedures, a platform of poster generative design system based on light elements was developed. To validate the performance of the design platform, usability tests and comparative experiments were conducted, and the results show that the generation approach can better improve the poster design quality and efficiency.