sweetdreamer3d.github.io - SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

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Description: SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

Example domain paragraphs

Lifting 2D observations in pre-trained diffusion models to a 3D world for text-to-3D is inherently ambiguous. 2D diffusion models solely learn view-agnostic priors and thus lack 3D knowledge during the lifting, leading to the multi-view inconsistency problem. Our key finding reveals that this problem primarily stems from geometric inconsistency, and addressing ambiguously placed geometries substantially mitigates the issue in the final outcomes. Therefore, we focus on improving the geometric consistency via

A dragon-cat hybrid &nbsp

Albert Einstein with grey suit is riding a bicycle

Links to sweetdreamer3d.github.io (5)

• xuelin-chen.github.io Xuelin Chen
• aruichen.github.io Rui Chen
• wyysf-98.github.io Weiyu Li's Homepage
• weiyuli.xyz Weiyu Li's Homepage
• 3dvisionreadinggroup.github.io 3D Vision Reading Group | 3D Vision Reading Group webpage.