“Spice-E: Structural Priors in 3D Diffusion Using Cross-Entity Attention” – ACM SIGGRAPH HISTORY ARCHIVES

“Spice-E: Structural Priors in 3D Diffusion Using Cross-Entity Attention”

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    Spice-E: Structural Priors in 3D Diffusion Using Cross-Entity Attention

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Abstract:


    Text-to-3D diffusion models can generate high-quality 3D shapes in seconds, but they are hard to control. In this work we introduce Spice-E ? a neural network that adds structural guidance to 3D diffusion models, allowing for solving a variety of 3D to 3D tasks with SOTA performance.

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