ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR INTERIOR DESIGN

Systems and methods for visualizing furnishing objects in a property are disclosed. An exemplary system includes a communication interface configured to receive a depth image of an interior space of the property captured by a 3D scanner and the depth image includes one or more existing furnishing objects in the interior space. The system further includes at least one processor configured to remove at least one existing furnishing object from the depth image, leaving at least one hole in the depth image corresponding to where the removed existing furnishing object used to be. The at least one processor is further configured to restore the depth image by filling the at least one hole in the depth image with a scene of the interior space that was blocked by the removed existing furnishing object, using a first neural network model trained with an image inpainting algorithm. The at least one processor is also configured to insert at least one new furnishing object in the restored image and render a 3D view of the interior space with the at least one new furnishing object for display.