可控性
工作流程
插值(计算机图形学)
艺术
计算机科学
视觉艺术
人工智能
质量(理念)
艺术史
艺术
图像融合
计算机图形学(图像)
计算机视觉
融合
扩散
作者
Yu-Ao Wang,Aven Le Zhou,James She,Kang Zhang
出处
期刊:Leonardo
[The MIT Press]
日期:2026-04-01
摘要
Abstract This paper demonstrates the fusion of Kandinsky’s and Wu Guanzhong’s styles using AI, yielding Eastern and Western point-line-plane aesthetics. The authors present a method for blending diverse styles using Stable Diffusion and LoRA and subsequently apply the synthesized hybrid aesthetics in design. The optimized LoRA training workflow enhances the quality and controllability of generated images. The authors enable efficient generation of high-quality artistic images and concept designs through seamless interpolation of trained LoRA model of artists’ styles. This approach exhibits considerable controllability and scalability, serving as a valuable aid in the creative endeavors of artists and designers.
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