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. Researchers from the McKelvey School of Engineering ...
The new method uses a geometry-driven sampling strategy to preserve curvature information and feed it into the network’s attention mechanism.
The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.
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