Combining CAD and Deep Learning Models for Style Recognition and Transformation of Arts and Crafts

This article analyzes CAD's computer-aided creative design by utilizing the landscape architecture's adversarial network.An intelligent structural optimization of landscape design has been constructed through an in-depth investigation of generative adversarial networks.Compared to traditional methods, The generation scheme of CAD has constructed a 3D effect image solution by analyzing the practicality of image clarity.It utilizes image landscape creation based on CAD performance to optimize the clarity of design effects.While maintaining artistic value, the algorithm proposed in this article intelligently improves the quality of artistic works.It constructs novelty and advantages in efficient design processing.The comprehensive evaluation of the proposed landscape design model constructs the artistic integrity value of innovative elements.Through the analysis of the effectiveness of the model, the algorithm has also made significant improvements in landscape innovation.