Scientific Contribution on synthetic data generation using diffusion processes

This report propose a method to deal with limited data contexts. It shows how to train a diffusion model with limited data and the possibility to control its output using extra inputs such as canny edges. An example is given using Thalès Satellite Imagery use case, performing inpainting of aircrafs.