This initiative represented a pioneering shift in digital content production, engineered to redefine how fashion imagery is produced at scale through the industrialization of Deep Learning. Functioning as a high-performance intersection where algorithmic precision met artistic direction, the project focused on the R&D and deployment of a proprietary "Virtual Mannequin" ecosystem. The core objective was to decouple garment photography from physical model dependencies by synthesizing photogrammetry, computer vision, and advanced image processing algorithms. As Head of Production & Post-Production, Vincent Verdureau oversaw the development of this system, utilizing Deep Learning protocols not for generation, but for advanced image treatment—creating a workflow that merged high-fidelity photographic capture with virtual modeling to produce 3D-ready visuals.

Vincent’s contributions spanned the end-to-end engineering of the "Diversity Rendering" pipeline—a breakthrough workflow allowing single garment shoots to be mapped onto diverse morphologies using algorithmic warping and texture preservation. He led international studio operations across Paris and…