Recently, a study led by Karthik Ramani, a professor of mechanical engineering at Purdue University, developed an AI technology called SurfNet. The technology converts 2D images into 3D content, and has enormous potential for application in the field of robots and driverless cars and the creation of digital 3D content. SurfNet uses machine learning to analyze 2D shapes and convert them into the expected 3D form. As time passes, AI learns more shapes and the technology becomes more and more perfect. “If you show a thing like the tens of thousands of shapes of a car to it and then show it a 2D image of the car, it can reconstruct the 2D image into a 3D model,†Ramani explained. . Regarding the application of SurfNet, Ramani mentioned the growing demand for 3D content caused by emerging technologies such as AR and VR. Ramani hopes that this technology will grow with the rise of VR and will soon be able to complete 2D to 3D conversions in an instant. In addition to converting 2D shapes, the technique can also merge two shapes into another shape. SurfNet can "create a 3D shape between two with two 2D images." This feature is similar to the 3D Filter feature that MyMiniFactory introduced earlier this year. In the future, researchers will further study machine learning algorithms to improve the SurfNet technology. Bar Or Restaurant Furniture,Restaurant Furniture,Restaurant Chairs,Bar Furniture Foshan Haoyu Furniture Factory , https://www.hyluxuryfurniture.com