Analysis of User Evaluation Indicator for AIGC Digital Illustration Design Principles
Based on the digital illustration design principles and the technical principles of AIGC,a production process from lite-rary text to digital illustration has been constructed.Through experiments,the actual effects and existing problems of AIGC digi-tal illustration have been demonstrated.The current development status of digital illustration has been reviewed,and the relation-ship between AIGC and digital illustration design principles has been analyzed.The main processes and key technologies currently used for digital illustration with AIGC have been summarized and introduced.Then,multiple Al algorithms have been used to build a production process from literary text to digital illustration,and multiple sets of experiments have been conducted.Finally,a questionnaire has been designed based on indicators such as the degree of fit between text and image to evaluate users,and ana-lyze the generation rules,characteristics,and usability of AIGC digital illustration.AIGC can meet certain narrative and artistic style requirements,but its effectiveness decreases as the narrative nature of the text increases.At the same time,it has poor per-formance for rare content,and its image details cannot represent complex narrative scenarios.Through theoretical analysis and ex-perimental comparison,it can be concluded that AIGC has great advantages in terms of production efficiency with the help of arti-ficial intelligence technology in digital illustration.However,due to a lack of understanding of narrative content,there are short-comings in its image expression.Currently,it still relies on the high involvement of designers to solve practical problems,and it also requires collaboration from all parties to promote the healthy development of new technologies.
Digital illustrationArtificial intelligence generated contentArtificial intelligenceNarrative
万方数据
维普
