Semantic Shape Editing with Parametric Implicit Templates
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.
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- Learning Shape Templates With Structured Implicit FunctionsKyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna 等ICCV 2019 · 被引用 427 次
- 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style VariationsKangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis 等ICCV 2021 · 被引用 87 次
- Geometry-Consistent Neural Shape Representation with Implicit Displacement FieldsYifan Wang, Lukas Rahmann, Olga Sorkine-HornungICLR 2022 · 被引用 81 次
- Neural jacobian fields: learning intrinsic mappings of arbitrary meshesNoam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri 等SIGGRAPH 2022 · 被引用 60 次
- SPAGHETTI: editing implicit shapes through part aware generationAmir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung 等SIGGRAPH 2022 · 被引用 59 次
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