Wizart builds digital showrooms that allows our clients to imagine how a given room is going to look like with specific wall coverings and floorings applied (e.g. helping to visualise how a particular wallpaper is going to look in one’s home after a renovation).
The core of Wizart’s innovative technology is computer vision algorithms which recognize and digitize photographed objects and then overlay new finishing materials onto flat surfaces in photorealistic quality, while preserving perspective, shades, and scale of photographed objects and finishing materials.
Behind the sleek interface is a neural network - an algorithm that is built upon machine learning from a set of data through a process that mimics the way the human brain operates. After the neural network learns to “see” and recognize various types of interiors, it becomes capable of identifying and separating the objects from the walls and floors. The process of machine learning is ongoing and therefore the neural network is constantly improving.
To render the end result of computer vision visualization as close to photorealistic as it is possible, we use multiple algorithms and neural networks that recognise rooms' geometry, shadows, perspective, and scale.
Most cases with atypical interiors may be resolved by making the room brighter or photograph it from a different angle. Our research shows that clients don’t mind imperfections that much if the end result they get gives them a good idea about how a given material will look like in their home in combination with other objects/materials. We see it as the main goal and not the absolute accuracy and precision.