3D digital twins from photographs

HQ Photorealistic Digital Twin — Indoor scene 3D reconstruction

Digital twins are virtual copies of real assets, systems, or processes that data scientists and IT professionals can use to run simulations. Digital twins are made to find and stop problems, predict performance, and improve processes by using real-time analytics to bring value to the business.

Digital twins must get past the following problems:
Getting the physical properties right.
Real-time automatic updates.
Using both digital and real things together.

One of the most important parts of making 3D content is making indoor scenes from photos that look very much like the photos. Such photorealistic “digital twins” can be used in many ways, such as augmented reality, photo editing, and simulations for training in fake but realistic environments. In the past few years, RGBD sensors have become commonplace, and a lot of progress has been made in reconstructing 3D scene geometry from a single photo or from a series of photos, as well as in aligning 3D models to images to build CAD-like reconstructions of scenes. But photorealistic applications need to do more than just get the geometry. They also need to get the materials and lighting, so they can not only accurately recreate the way things look, but also see and edit…

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