AI Approach Extracts Accurate 3D Meshes from Neural Radiance Fields

NeRFMeshing is a novel method for accurately reconstructing 3D scenes and objects using neural radiance fields (NeRFs).

It introduces a new structure called a signed surface approximation network (SSAN) that is built on top of trained NeRF networks and enables the extraction of precise 3D triangle meshes of the scene.

NeRFMeshing is highly flexible and can be used in various fields such as AR/VR, robotics, and photogrammetry.

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