Intelligent interior design based on BachGAN and StyleGAN2

Inhalt:
Image generation technology can be well applied to the field of design, especially in interior design. This paper will describe some relevant image generation algorithms and applications, including two advanced approaches applied in the field of interior design, as well as introduce in detail two algorithms named BachGAN and StyleGAN2. BachGAN is an algorithm that can generate images by providing salient object layout, and StyleGAN2 is an algorithm that can generate images with specific styles through training. These two algorithms are advanced and can be well applied to interior design. By combining them, a potential approach of generating interior design with a specific style through the layout of the salient objects is proposed. This approach satisfies customers seeking individuality in interior design and helps popularize personal design tools and expands this smart design approach to a wider range of fields.