Pre-Publication V2. The process of AI generated conversion of 2D inputs (like photos, videos, or text) into digital 3D models and environments. Neural networks enable machine learning models to "understand" depth, 3D geometry, and spatial relationships, digitizing the physical reality.
Deliberation Summary:
(1) Acknowledged the point that term describes a variant of an image-to-three-dimensional workflow already addressed elsewhere in the list. (2) Request for neural networks to be explained for readers unfamiliar with the term, via a footnote or a separate entry, (3) Note that the compound modifier for generated output should be hyphenated consistently throughout the document.
Pre-Publication V1. The process of AI generated conversion of 2D inputs (like photos, videos, or text) into digital 3D models and environments. Neural networks enable machine learning models to "understand" depth, 3D geometry, and spatial relationships, digitizing the physical reality.