205 citations · 295 across the 3 of their papers we have counts for
4 papers
Composite Shape Modeling via Latent Space Factorization
Anastasia Dubrovina, Fei Xia, Panos Achlioptas +3
We present a novel neural network architecture, termed Decomposer-Composer, for semantic structure-aware 3D shape modeling. Our method utilizes an auto-encoder-based pipeline, and…
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina +2
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. As such, it…
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim +1
Modeling relations between components of 3D objects is essential for many geometry editing tasks. Existing techniques commonly rely on labeled components, which requires substantia…
Spectral Generalized Multi-Dimensional Scaling
Yonathan Aflalo, Anastasia Dubrovina, Ron Kimmel
Multidimensional scaling (MDS) is a family of methods that embed a given set of points into a simple, usually flat, domain. The points are assumed to be sampled from some metric sp…