SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
arXiv:2506.02371v2 Announce Type: replace
Abstract: Diffusion models achieve strong generative performance but often rely on large datasets that may include sensitive content. This challenge is compounded by the models’ tendency to memorize training d…