SuperFlex: Deformable Superquadrics for Point Cloud Decomposition
Superquadrics have proven to provide a compact, geometrically meaningful representation for 3D objects. However, existing methods suffer from limited reconstruction accuracy, are restricted to rigid primitives, and lack robustness to partial point clouds. In this work, we present SuperFlex, an enhanced framework that expands the expressive power and applicability of superquadric decompositions. First, we introduce a novel loss formulation which significantly improves reconstruction accuracy. Second, we include bending and tapering deformations, enabling high-fidelity representation of curved a
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- LinkedLinked via arxiv author · 85%Gabriel Tavernini →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”
- LinkedLinked via arxiv author · 85%Elisabetta Fedele →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”
- LinkedLinked via arxiv author · 85%Tiago Novello →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”
- LinkedLinked via arxiv author · 85%Leonidas Guibas →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”
- LinkedLinked via arxiv author · 85%Marc Pollefeys →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”
- LinkedLinked via arxiv author · 85%Francis Engelmann →
“SuperFlex: Deformable Superquadrics for Point Cloud Decomposition”