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Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models.
Nvidia Research and others collaborated to create the DIB-R framework that can predict 3D properties from 2D images to create 3D models.
An alternative method is the 3D freehand method, in which 2D images scanned (obtained) by sweeping a transducer over the body surface are stitched together to create a 3D view.
A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.
An alternative method is the 3D freehand method, in which 2D images scanned (obtained) by sweeping a transducer over the body surface are stitched together to create a 3D view.