is a new platform that helps users generate new styles and even new functions for their interior spaces. The program uses the input of a 2D image of an interior space, be it a picture found on the internet or a photograph taken by the user. It can then modify this picture to fit one of the 16 preselected styles, ranging from Minimalist, Art nouveau, or Biophilic to Baroque or Cyberpunk. The program also allows users to select a different function for the room, kitchen, home office, outdoor patio, or even fitness gym, thus creating a completely new interior design.
This can be seen as a step forward from other platforms and technologies, helping users find new ideas and inspiration for improving their homes. If websites such as enable people to discover new ideas that can be implemented in their homes, machine learning technologies, such as image generators, could bridge the gap and visualize the interventions in the actual space. Other systems, like the , use augmented reality technologies. This uses smartphone cameras and overlayed 3D images to present how an object would look in a space.
are met with a certain degree of anxiety by the professionals activating in the same fields, such as architects and interior designers. Other professionals see these innovations as the advancement of tools designers can use to further their processes and expand their sources of inspiration. The main tasks performed by architects or interior designers are not simply finding new and innovative ideas but also understanding the spaces they are designing for, the constraints, and the opportunities. It means choosing the best solution that fits a complex set of objective and subjective criteria.
The website is developed by indie entrepreneur , who also designed , another platform that allows users to generate images of modern architecture homes. The website also allows users to vote for the best images generated or see similar houses by clicking on the keywords displayed at the bottom of the image.
Editor’s Note: This article was originally published on