[R] HyperFields: towards zero-shot NeRFs from text descriptions

Generating 3D objects based solely on text descriptions has proven extremely challenging for AI. Current state-of-the-art methods require optimizing a full 3D model from scratch for each new prompt, which is computationally demanding.

A new technique called HyperFields demonstrates promising progress in generating detailed 3D models directly from text prompts, without slow optimization.

The HyperFields approach instead aims to **learn a generalized mapping from language to 3D geometry representation**s. This would allow tailored 3D models to be produced for new …

3d models 3d objects art current machinelearning objects progress prompt prompts state text