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[D] Is accurately estimating the contents of a voxel outside of a real 3D model possible?

Imagine we have a training set of real 3D models (by this I mean, for example, 3D models of a rooms in buildings), and with this training set, we train a neural network to understand the relationship between a voxel and the 3D model in which it resides (I hypothesize that something like light would be a factor). Then, we use our neural network to predict one voxel outside of the captured (by a camera) 3D model. Is this possible? Would the desired results be achieved?

submitted by /u/Mjjjokes
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.