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Geometric & Visual Computing

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Newly Available Positions

- Several Assistant Professor and Professor positions are available at Ecole Polytechnique, and can lead to integrate our team: More information here.
Part-time lecturer positions are also available, and opened to Computer Vision teaching.

- We have 2 available PhD positions to be starting in our team at fall 2020 in the context of an the Innovative Training Network CLIPE. 15 PhDs positions are available within this project through all Europe.

Short Description

Geometric & Visual Computing (GeoViC) is a Computer Graphics and Computer Vision group tackling geometric analysis, modeling and computer animation research.

The team is part of the "Modeling, Simulation & Learning" pole of the LIX (Laboratoire d'Informatique de l'Ecole Polytechnique) in Palaiseau.
It depends of the CNRS and Ecole Polytechnique, IP Paris.

Note: GeoViC is the continuation of the STREAM team since November 2019

Keywords

Research methodology and applications

Our approach favors the introduction of efficient structures for high-level, possibly abstract, geometrical features of the studied shapes or phenomena. These structures can either be extracted from existing data or synthesized from prior knowledge and mathematical modeling.

Examples of such structures span latent space obtained from geometric-aware convolutional neural networks, distributions of shape arrangements and their associated metric, intrinsic properties on manifolds such as local-symmetry or Gaussian curvature, non-manifold skeletal structures representing volumetric implicit shapes, visual surface features associated with details or wrinkles on a parent shape, multi-resolution representations of complex shapes, as well as space-time features expressing user-guided or simulated interactions such as contacts and shape deformations.

These structures offer an efficient computational representation highlighting meaningful properties of the digital model and can be used to improve geometry processing algorithms, to provide support for expressive modeling or visualization methods, or to enable efficient and controllable animation.

The results of our research lead to fast and robust virtual content analysis and creation methods such as shape matching and feature retrieval, creative prototyping and modeling of detailed objects or characters that automatically adapt to the context and the user interactions, or either animated natural scenes composed of multiple layers coupling geometrical constraints with efficient simulation. The targeted applications include entertainment & artistic creation (animation cinema, video games, VFX), virtual prototyping & manufacturing, as well as modeling & visualization for natural sciences.

Main ongoing industrial chairs and grants

ERC Research Grant EXPROTEA to explore relations in structured data with functional maps.
Grant holder: Maks Ovsjanikov
Chair with Google to develop academic and research projects in IA & Visual Computing.
Chair holder: Marie-Paule Cani
Contribution to a chair with Uber to develop research projects related to visual simulation of flying taxis.
Contact in the team: Marie-Paule Cani
Contribution to a chair with Ubisoft to develop academic and research projects related to video games.
Contact in the team: Damien Rohmer

Latest events (go to events page)

February 2020

Marie-Paule Cani is elected as the President of the SIF (Société Informatique de France) scientific steering committee.

Welcome to our 3 new postdocs: Chrisotphe Lino, Gautam Pai, and Liu Zhisong.

January 2020


  • The project AIGRETTE: Analyzing Large Scale Geometric Data Collections, proposed by Maks Ovsjanikov has been selected as one of the Chaire IA from ANR.
    • In the research project associated with this chair, we propose to develop efficient algorithms and mathematical tools for analyzing large geometric data collections, including 3D shapes represented as triangle or quad meshes, volumetric data, point clouds possibly embedded in high-dimensions and graphs representing geometric (e.g. proximity) data.

November 2019

October 2019

July 2019

March 2019

July 2018