Search Results for author:
Found 3 papers, 2 papers with code
Composite Shape Modeling via Latent Space Factorization
We present a novel neural network architecture, termed Decomposer-Composer, for semantic structure-aware 3D shape modeling.
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Fitting geometric primitives to 3D point cloud data bridges a gap between low-level digitized 3D data and high-level structural information on the underlying 3D shapes.
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Modeling relations between components of 3D objects is essential for many geometry editing tasks.
Graphics I.3.5
Cannot find the paper you are looking for? You can
Submit a new open access paper.
