(e.g. doors and windows) and removable objects; secondly, it uses context-aware inpainting algorithms to intelligently generate filler content according to the surrounding texture, avoiding the hard seams caused by traditional eraser tools; finally, it automatically optimizes the output effect through the quality assessment module.
Comparison test data shows that when dealing with a typical living room scenario, RoomClean takes only 45 seconds to complete a whole-house furniture cleanup, while manual modeling with professional software such as SketchUp takes an average of 25 minutes. In IKEA's case study, consumers using the feature reduced the number of revisions to the furniture matching program by 67%, significantly improving the efficiency of purchase decisions.
The breakthrough of this feature is to transform computer vision research results into pervasive applications, so that non-professionals can also obtain spatial cognition abilities close to those of interior designers. In the future, the recognition accuracy is expected to exceed 95% by continuously training a larger home dataset.
This answer comes from the articleRoomClean: Use AI to remove furniture and organize roomsThe
