AI RESEARCH
SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
arXiv CS.LG
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ArXi:2506.02371v2 Announce Type: replace 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