Current fundings
VESPAA (2022-2027)
The main goals of VESPAA are (1) to improve the quality of measurements data acquired by La Coupole in order to represent complex materials (gilding, pearl, patina and varnish), (2) to develop new SV-BRDF models and multi-resolution representations to visualize in real-time and with high fidelity the digitized objects under dynamic light and view directions. The targeted audience ranges from Cultural Heritage experts to mainstream public visiting the museums. Finally it also aims at ensuring the durability of the acquired reflectance properties by storing the measurements (geometry and tabulated data) as well as the SV-BRDF models (Source Code) in an open database.
ECOPTICS (2021-2024)
This project ambition to bring new tools that help unravel some of the mysteries found in the visual communication of animals having remarkable optical properties (iridescence, transparency, etc). It takes a Computer Graphics approach to develop new image synthesis techiques with the goal of filling the gap between existing Optical and Ecological methodologies. The main challenge consists in connecting light transport in microscopic structures found at the surface of animals, to visual signal that may be perceptibles by another animal in its own habitat. Achieving this objective would not only shed some new light on the visual interactions among animals, but it might also suggest new bioinspired fabrication techniques.
MoStyle (2021-2025)
The main goal of this project is to investigate how computer tools can help capturing and reproducing the typicality of traditional 2D animations. Ultimately, this would allow to produce 2D animations with a unified appearance starting from roughs drawings or 3D inputs.
Past fundings
CaLiTrOp (2017-2021)
Leader: IRIT Other partners: LIRIS
The main objective of this project is to go over a general functional and geometrical analysis of the structure of light paths space in a 3D scene in order to identify and model the properties of the light transport operators useful for efficient rendering.
FOLD-Dyn (2017-2021)
Leader: IRIT Other partners: IMAGINE, TeamTo, Mercenaries
This project proposes to explore the possibilities offered by a novel theoretical way of addressing character deformations: the implicit skinning which jointly uses meshes and volumetric scalar functions.
MATERIALS (2015-2019)
Leader: MAVERICK Other partners: Musée d’Ethnographie de Bordeaux, OCé-Print
This project aims at scanning complex cultural artifacts, such as silk cloths, capturing all the geometry of their materials at the microscopic level, then reproducing them for study by public and researchers. Reproduction can be either done through 2.5D printing or virtual reality displays.
RichShape (2014-2017)
This project aims to enhance the realism and visual richness of digital images. More precisely, its goal is to design novel representations for the creation, manipulation and efficient rendering of highly detailed 3D objects.
ISAR (2014-2017)
Leader: Potioc Other partners: LIG-CNRS-UJF, Diotasoft
This project focuses on the design, implementation and evaluation of new interaction paradigms for spatial augmented reality, and to systematically explore the design space.
PRISM (2013-2015)
Leader: Justus-Liebig Universität, Germany Other partners: listed here
PRISM is an EU-funded research and training network that unites nine leading academic and industrial partners from across Europe to understand how the brain represents the physical properties of objects, surfaces and lighting in the surrounding world.
IM&M (2011-2015)
Leader: IRIT
This project aims at the definition of simple and robust tools for the modeling of 3D objects. To this end, the proposed approach consists in combining the nice mathematical properties of implicit surfaces with classical meshes.
ALTA (2011-2015)
Leader: MAVERICK Other partners: REVES
The project ALTA aims at analyzing the light transport equations and at using the resulting representations and algorithms for more efficient computation. We target lighting simulations, either offline, high-quality simulation or interactive simulations.
V-MusT (2011-2015)
Leader: CNR ITABC
V-MusT is a EU FP7-funded network of excellence that aims to provide the heritage sector with the tools and support to develop virtual museums that are educational, enjoyable, long-lasting and easy to maintain.
SeARCH (2009-2013)
Other partners: Archéovision (UPS CNRS 3551), CEAlex (USR CNRS 3134), ESTIA
Cultural Heritage (CH) artifacts often come as a set of broken fragments leading to difficult 3D puzzles and sometime impossible to solve in a real world. The project’s goal is to propose solutions from on-site acquisition, 3D surface reconstruction and semi-automatic virtual reassembly, taking into account the expertise of CH scientists.
State Key Lab of CAD&CG (Zhejiang University – China) – Since 2008
Image Stylization and Augmented Reality
With the State Key Lab of CAD&CD, we are working on the image and video stylization. We specifically focus on the extraction of pertinent structures and their use in augmented reality.
