Parsing Geometry Using Structure-Aware Shape Templates

1 code implementation • 3D Vision 2018 2018 • Vignesh Ganapathi-Subramanian, Olga Diamanti, Soeren Pirk, Chengcheng Tang, Matthias Niessner, Leonidas J. Guibas

Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality.

Object Object Recognition +1

Modular Latent Spaces for Shape Correspondences

1 code implementation • Symposium in Geometry Processing 2018 2018 • Vignesh Ganapathi-Subramanian, Olga Diamanti, Leonidas J. Guibas

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.

Learning Representations and Generative Models for 3D Point Clouds

3 code implementations • ICML 2018 • Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas Guibas

Three-dimensional geometric data offer an excellent domain for studying representation learning and generative modeling.

Representation Learning