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Text2VDM: Text to Vector Displacement Maps for Expressive and Interactive 3D Sculpting

DescriptionProfessional 3D asset creation often requires diverse sculpting brushes to add surface details and geometric structures. Despite recent progress in 3D generation, producing reusable sculpting brushes compatible with artists’ workflows remains a challenging problem. These sculpting brushes are typically represented as vector displacement maps (VDMs), which existing models cannot easily generate compared to natural images. This paper presents Text2VDM, a novel framework for text-to-VDM brush generation through the deformation of a dense planar mesh guided by score distillation sampling (SDS). We introduce weighted blending of prompt tokens to SDS, resulting in a more accurate target distribution and semantic guidance.

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