AI赋能动态视觉设计工作流构建与实践研究OA

To improve the efficiency and expressive diversity of dynamic visual design,the construction of a generative AI-based design workflow is of great significance.This paper proposes a three-stage human-machine collaborative workflow model,termed"Generate-Evaluate-Feedback,"and introduces a"Human-Machine Creative-Technical Control Matrix"to clarify the division of responsibilities and collaboration mechanisms between human and machine at each stage.Practical results show that this model significantly enhances the design process efficiency,increasing material preprocessing efficiency by approximately 40%and overall production timeliness by over 50%.Through parameterized control,a visual integration level of 82%can be achieved,demonstrating its effectiveness in improving creative output quality and workflow controllability.