Diff-CA
Separates what two image datasets share from what only one of them has, so that factor can be swapped or interpolated without losing image quality.
Founding AI Researcher at Davis AI in Paris, where I work on discrete diffusion models for floor plan generation. Before that, I did a PhD at CEA List (Université Paris-Saclay) and postdocs at Télécom Paris, Sorbonne Université and Inria, on diffusion and flow-matching models, controllable generation and disentangled representations.
Separates what two image datasets share from what only one of them has, so that factor can be swapped or interpolated without losing image quality.
A training-free way to make text-to-image models follow the prompt, for both diffusion and flow-matching models.
Demographically balanced synthetic face datasets, and a statistical analysis of fairness in face verification.