An Interior Decoration System via Virtual Reality and Artificial Intelligence
Meng Fen Xia, Saba Ghazanfar Ali, Ping Li, Anum Masood, Bin Sheng, Jie Ren · 2018
In this paper, we proposed an interior design system. We have implemented the scene selection function and the house type drawing function to get the apartment type. After getting the basic apartment type, we have also provided some other basic decoration functions such as furniture placement, furniture conversion, material conversion, and light switch. These functions are operated by mouse clicking and keyboard control. In addition, we have added some AI modules to provide an additional assistant. Through the recognition of the picture, the texture can be trained, and the ideal texture has been obtained. The implementing environment of our design system is UE4, and the AI algorithm was written in Python and tensor flow.