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Found 4 papers, 3 papers with code
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Reconstruction of geometry based on different input modes, such as images or point clouds, has been instrumental in the development of computer aided design and computer graphics.
Topology-Aware Surface Reconstruction for Point Clouds
We present an approach to inform the reconstruction of a surface from a point scan through topological priors.
Computational Geometry Graphics
Parsing Geometry Using Structure-Aware Shape Templates
Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality.
Modular Latent Spaces for Shape Correspondences
To achieve this, we use intermediate nonlinear embedding spaces, computed individually on every shape; the embedding functions use ideas from diffusion geometry and capture how different descriptors on the same shape inter‐relate.
