Shape‐from‐Operator: Recovering Shapes from Intrinsic Operators

By Davide Boscaini, Davide Eynard, Drosos Kourounis, Michael M. Bronstein. 2015

48 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Michael M. Bronstein
2. Emanuele Rodolà
3. Jonathan Masci
4. Davide Boscaini
5. Daniel Cremers
6. A. Bronstein
7. M. Ovsjanikov
8. Or Litany

In Computer Graphics and Computer-Aided Design

1. Michael M. Bronstein
2. Emanuele Rodolà
3. Jonathan Masci
4. Davide Boscaini
5. Daniel Cremers
6. Federico Monti
7. Or Litany

Citations in the corpus

• Dynamic FAUST: Registering Human Bodies in Motion (2017, unknown): “From this dataset, researchers have used both real scans (for benchmarking registration techniques [20, 51, 55]) and aligned templates (e.g. for training Convolutional Neural Networks [9, 10, 11, 33, 53]).”
• Anisotropic Diffusion Descriptors (2016, methodology): “…spectral methods have gained popularity in many domains of computer graphics and geometry processing, especially in problems of shape analysis [Lév06, R ∗ 13] and synthesis [RCG08, BEKB15], symmetry detection [OSG08], shape retrieval [BBGO11], correspondence [O ∗ 12], and segmentation [SOCG10].”