Neural Network Allows Google Deepmind To Transform 2D Images Into 3D Models ByNitish Singh-June 29 2018.253 Figure 1 Google Deepmind Image Courtesy can now be used to create 3D Models Using 2D Images using neural networks. New neural network Google Deepmind can build 3D models from 2D knowledge. DeepMind, which is a division of Google Uk, demoted the technology earlier today. DeepMind Team Leaders Danilo Rezende and Ali Eslami have developed new software that exploits deep neural networks in Ai that can mimic human capabilities by recognizing geometric scenes without needing input of 3D data. Simple inputs of 2D data using software will help the Ai create a full-fledged 3D world using deep learning and mathematical representations. With Google spending a large part of its money in Ai, we see change a little bit. Ai is already able to identify and categorize photos that play games and provide surveillance solutions that serve as virtual assistants, and much more. All this is possible without needing prior knowledge from any hard-coded database. The Ai encounters the same new environment as humans and is capable of rendering output in 3D data format. Occlusion and illumination of the perspective shadows were programmed into the technology to help create a realistic 3D environment rich in detail and details. Despite not having any code to direct it when it comes to creating physics in the graphics engine, the Ai is able to produce stellar 3D performance. Thanks to the simplicity of neural networks generated by Google DeepMind, it simply ‘ learns ‘ all of the graphical information looking at the images. Grip.