Abstract: Various embodiments include systems, methods, and non-transitory computer-readable media for processing a computational problem that embodies, describes, or defines an assignment problem (or any other problem) with an objective function in sum-product form.

Abstract: Various embodiments include systems, methods, and non-transitory computer-readable media for using machine learning (ML)-based branching and diving to solve a computational problem that comprises a combinatorial optimization problem.

Abstract: View-dependent texture images and view-independent texture data for a 3D computer model are processed to compress each view-dependent texture image by subtracting the view-dependent data and view-independent data in a common 2D image space to generate a difference image, and compression encoding the difference image. The difference images, 3D computer model and view-independent texture data are transmitted to a second apparatus, where the difference data and view-independent texture data are recombined in a common 2D image space as part of the processing to render an image.