Vincent Guitteny — accepted AI-conference papers

2019

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing

Eloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny

ICCV 2019poster

Editing 3D models is a very challenging task, as it requires complex interactions with the 3D shape to reach the targeted design, while preserving the global consistency and plausibility of the shape. In this work, we present an intelligent and user-friendly 3D editing tool, where the edited model i…

Cited by 33 PDF ↗Scholar ↗

2018

Manifold Learning in Quotient Spaces

Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord

CVPR 2018poster

When learning 3D shapes we are usually interested in their intrinsic geometry rather than in their orientation. To deal with the orientation variations the usual trick consists in augmenting the data to exhibit all possible variability, and thus let the model learn both the geometry as well as the r…

Cited by 21 Source ↗PDF ↗Scholar ↗