BriefGPT.xyz
Oct, 2023
SweetDreamer:对齐2D扩散中的几何先验以实现一致性的文本到3D
SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
HTML
PDF
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
TL;DR
通过将2D扩散模型中的几何先验与定义良好的3D形状进行对齐,我们提高了一致性,解决了多视角不一致问题,并获得了新的最先进性能,85%以上的一致性率,远高于以前的方法。
Abstract
It is inherently ambiguous to lift 2D results from pre-trained diffusion models to a 3D world for
text-to-3d generation
.
2d diffusion models
solely learn view-agnostic priors and thus lack
→