Semantic Shape Editing With Parametric Implicit Templates
作者: Uday Kusupati, Mathieu Gaillard, Jean-Marc Thiery, Adrien Kaiser
摘要
We propose a semantic shape editing method to edit 3D triangle meshes using parametric implicit surface templates, bene ting from the many advantages o ered by analytical implicit representations, such as in nite resolution and boolean or blending operations. We propose rst a template tting method to optimize its parameters to best capture the input mesh. For subsequent template edits, our novel mesh deformation method allows tracking the template's 0-set even when featuring anisotropic stretch and/or local volume change. We make few assumptions on the template implicit elds and only strictly require continuity. We demonstrate applications to interactive semantic shape editing and semantic mesh retargeting.