From 2D to 3D: Enhancing Text-to-3D Generation Consistency with Aligned Geometric Priors

Converting 2D images into 3D objects for the purpose of text-to-3D generation is a daunting task. This is mainly because the 2D diffusion models learn only the view-agnostic priors and do not have an understanding of the 3D space during lifting. An outcome of this limitation is the multi-view inconsistency problem, i.e., the 3D object […]

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