
René Schulte
@rschu • 6,274 subscribers
Emerging Tech @Reply_ITA丨 Dev 丨@Microsoft Regional Director & AI MVP丨 Keynote Speaker丨3D AR VR丨Spatial Computing丨Physical AI |Quantum Computing⟩丨Cyclist
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Super clean and efficient meshes by an AI? YES! The typical 3D Generative AI solutions produce lots of artifacts and usually way to many polygons due to volumetric approaches. In comparison “MeshGPT creates triangle meshes by autoregressively sampling from a transformer model that has been trained to produce tokens from a learned geometric vocabulary. These tokens can then be decoded into the faces of a triangle mesh. This method generates clean, coherent, and compact meshes, characterized by sharp edges and high fidelity.” Surely it is limited by the trained vocabulary but various versions can be trained for specific sets to create generative model libraries for certain object groups. Very promising approach with the high quality.
René Schulte20,772 Aufrufe • vor 2 Jahren
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