↓Skip to main content

Topics

The scientific animation of the team is organized around 6 scientific themes and 2 transversal meetings.

Thematic Meetings

Geometry

Dynamical meshes

Rendering

Virtual Reality and Perception

Virtual worlds

Transversal Meetings

Reading group

Plenary session

Mathematical tools

Latest Events

  1. Geometry Calcul efficace de diagrammes de persistence Presented by Mattéo Clémot
  2. Plenary session Bring your implicit geometry to life: how to make currents, SDFs, and/or point clouds more surface-like ? Presented by Stephanie Wang
    details
  3. Reading group Planetary Surface Image Generation For Testing Future Space Missions With Pangu Presented by Alice Malosse
    article slides
  4. Reading group Artwork in research papers: tips and tricks Presented by David Coeurjolly
    article slides
  5. Reading group efunc: An Efficient Function Representation without Neural Networks Presented by Camille Buonomo
    article slides
  6. Geometry BSP-OT Presented by Baptiste Genet
  7. Reading group A Theoretical Analysis of Compactness of the Light Transport Operator Presented by Gaspard Thévenon
    article slides
  8. Reading group Putting Rigid Bodies to Rest Presented by Hugo Schott
    article slides
  9. Mathematical tools Analytic Geometry for Partial Optimal Transport-based Fluid simulation Presented by Cyprien Plateau-Holleville
    details
  10. Reading group Neural importance sampling of many lights Presented by Bastien Doignies
    article slides
  11. Reading group Deep Medial Fields Presented by Hugo Schott
    article slides
  12. Reading group Fair coins tend to land on the same side they started: evidence from 350,757 flips Presented by Bastien Doignies
    article slides
  13. Plenary session Réunion plénière du 23/06/2025 Presented by Florence Zara, Adrien Peytavie
    details
  14. Reading group Dynamic Skeletonization via Variational Medial Axis Sampling Presented by Mattéo Clémot
    article slides
  15. Reading group A new workflow for mapping dune features (outline, crestline and defects) combining deep learning and skeletonization from DEM-derived data Presented by Alice Malosse
    article slides