A captured using Luma AI. The application captures point cloud data which is then used to create a dynamic Gaussian Splatting render on Luma's website. I tested out how it captures reflective and refractive materials and small object data (such as the leaves and twigs) which are all notoriously difficult to scan using traditional photogrammetry techniques. You can see the reflection on the metal shifting accurately which is unique to Gaussian Splatting. I also captured much more of the environment than I intended, which is an interested by-product of this method.
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NeRF: Short for Neural Radiance Field, this technique of reality capture uses multiple images and machine learning to recreate what your camera sees in 3D.
Gaussian Splatting is a 3D rendering technology that uses volume data, such as a 3D scan point cloud (as opposed to 3D geometry using vertices). This makes it much more complicated to edit or manipulate unlike designed models that use topology created by an 3D modeler.
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