3 citations · 3 across the 3 of their papers we have counts for
6 papers
Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement
Alessandro Rinaldi, Edoardo Tedesco, Andrea Ferraris +5
The decomposition of 3D point clouds into interpretable geometric primitives remains a longstanding challenge in Computer Vision and Computer Graphics. Among the available represen…
FUSE: A Flow-based Mapping Between Shapes
Lorenzo Olearo, Giulio Viganò, Daniele Baieri +2
We introduce a novel neural representation for maps between 3D shapes based on flow-matching models, which is computationally efficient and supports cross-representation shape matc…
Volumetric Functional Maps
Filippo Maggioli, Simone Melzi, Marco Livesu
Computing volumetric correspondences between 3D shapes is a prominent tool for medical and industrial applications. In this work, we pave the way for spectral volume mapping, exten…
SShaDe: scalable shape deformation via local representations
Filippo Maggioli, Daniele Baieri, Zorah Lähner +1
With the increase in computational power for the available hardware, the demand for high-resolution data in computer graphics applications increases. Consequently, classical geomet…
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing
Daniele Baieri, Filippo Maggioli, Emanuele Rodolà +2
Neural fields have emerged as a powerful representation for 3D geometry, enabling compact and continuous modeling of complex shapes. Despite their expressive power, manipulating ne…
Reconstructing Curves from Sparse Samples on Riemannian Manifolds
Diana Marin, Filippo Maggioli, Simone Melzi +2
Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of cu…