Implementation of Object-oriented Design Technology and Deep Learning Algorithm in Interior Design CAD System

Abstract

People’s means of interior design are no longer limited to hand painting, but more are carried out by computer software. The emergence of deep learning (DL) promotes the application and growth of 3D data, and with the help of 5G Internet technology, it is possible to generate 3D models and visualize the cloud. With the continuous growth of DL, many researches on 3D modeling based on DL algorithm have emerged. In this article, the application of object-oriented design technology and DL algorithm in interior design CAD system is studied. Convolutional neural network (CNN) is trained by DL to realize 3D reconstruction of interior scene based on object-oriented design, and the reconstructed 3D model is rendered. The model is rendered based on different texture information when its 3D structure is known, which gives full play to the advantages of many samples and wide types of image data and the powerful representation ability of DL, and provides a new solution for the 3D reconstruction and 3D rendering of interior design CAD system.