SYNTHESIZING THREE-DIMENSIONAL SHAPES USING LATENT DIFFUSION MODELS IN CONTENT GENERATION SYSTEMS AND APPLICATIONS

Approaches presented herein provide for the unconditional generation of novel three dimensional (3D) object shape representations, such as point clouds or meshes. In at least one embodiment, a first denoising diffusion model (DDM) can be trained to synthesize a 1D shape latent from Gaussian noise, a...

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Bibliographische Detailangaben

Hauptverfasser:	Kreis, Karsten Julian, Gojcic, Zan, Vahdat, Arash, Fidler, Sanja, Litany, Or, Williams, Francis, Zeng, Xiaohui
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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