论文标题
意大利面：通过部分意识一代编辑隐式形状
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation
论文作者
论文摘要
神经隐式领域迅速成为基于学习技术的有吸引力的表示。但是，将它们用于3D形状建模和编辑是具有挑战性的。我们介绍了$ \ mathbf {e}的方法$ \ mathbf {g} $ enera $ \ mathbf {t} $ ion，简称为意大利面条。我们的体系结构可以通过将形状段转换，插值和组合在一起，而无需明确的部分监督来操纵隐式形状。意大利面条将部分表示为外部和内在的几何信息。此特征使具有部分级别控制的生成框架。使用交互式图形接口来证明意大利面的建模功能，用户可以直接编辑神经隐式形状。
Neural implicit fields are quickly emerging as an attractive representation for learning based techniques. However, adopting them for 3D shape modeling and editing is challenging. We introduce a method for $\mathbf{E}$diting $\mathbf{I}$mplicit $\mathbf{S}$hapes $\mathbf{T}$hrough $\mathbf{P}$art $\mathbf{A}$ware $\mathbf{G}$enera$\mathbf{T}$ion, permuted in short as SPAGHETTI. Our architecture allows for manipulation of implicit shapes by means of transforming, interpolating and combining shape segments together, without requiring explicit part supervision. SPAGHETTI disentangles shape part representation into extrinsic and intrinsic geometric information. This characteristic enables a generative framework with part-level control. The modeling capabilities of SPAGHETTI are demonstrated using an interactive graphical interface, where users can directly edit neural implicit shapes.
