My research involves deep learning, 3D vision, and simplified physics-informed image processing.
E-Mail Google Scholar Twitter LinkedInClémentin Boittiaux, Vincent Lepetit
A Python Blender-based simulation framework designed to benchmark scene exploration, 3D reconstruction, and semantic segmentation tasks in both static and dynamic environments.
arXiv project page code Blender fileClémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Maxime Ferrera, Vincent Hugel
Use SfM/MVS dense reconstruction to recover the colors of underwater images.
arXiv project page codeClémentin Boittiaux, Claire Dune, Maxime Ferrera, Aurélien Arnaubec, Ricard Marxer, Marjolaine Matabos, Loïc Van Audenhaege, Vincent Hugel
The dataset presents four dives on the Eiffel Tower hydrothermal vent over a five-year period. We provide images, navigation data and a unified SfM ground truth.
arXiv code datasetClémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Vincent Hugel
Approximating the reprojection error through homographies addresses differentiability issues for camera pose regression in deep learning applications.
arXiv code video