We're doing synthetic data generation to predict complex 3D character deformations—basically, a full anatomical bone/muscle/fat/skin simulation is computed in thousands of poses (each pose is determined by comparatively minuscule numbers of inputs), and then training on that data set so we can predict high-quality deformations in real-time from live mo-cap data.
Photo-real 3D worlds are particularly appropriate for generating high-quality synthetic ML training data sets—I know a bunch of autonomous driving companies are doing it with great success. (We also use Houdini to generate our 3D data sets.)[0]
Photo-real 3D worlds are particularly appropriate for generating high-quality synthetic ML training data sets—I know a bunch of autonomous driving companies are doing it with great success. (We also use Houdini to generate our 3D data sets.)[0]
[0] https://www.youtube.com/watch?v=GKb8ZL3bUbw