The three-dimensional intelligent simulation of image art design is an important means of current image art design, which is affected by many factors. The traditional 3D intelligent simulation technology has certain defects, which leads to certain defects in 3D artwork. This paper builds a three-dimensional art design system based on dynamic image detection and genetic algorithm. The system simulates the actual dehazing method, and this paper proposes a dehazing algorithm suitable for this system and proposes to use bilateral filtering instead of median filtering. Because bilateral filtering has good edge retention, it can eliminate the blockiness caused by median filtering. Moreover, this paper uses FMM (Fast Marching Method) algorithm to repair the image. In order to verify the performance of the model, this paper conducts quantitative evaluation through system simulation and user satisfaction survey methods. The research results show that the method proposed in this paper has a certain effect and can be applied to practice.

Character modeling is an important link in animation design, and it is one of the keys to determining whether an animation is successful or not, as well as determining the value of animation and related industries. This paper examines the role of material innovation in the development of animation art, as well as the impact of various materials on animation production technology and design style, using the visual symbol theory as a guide. GA (genetic algorithm) is used in the comic design process to improve the fidelity and efficiency of the artwork. GA performs data training of multiple components; selection and crossover operations are carried out continuously according to the fitness threshold; and the particle swarm optimization strategy is added. This algorithm increases the rate of design reuse and efficiency, as well as the ability to determine the best component combination scheme.