AI RESEARCH
Generalization and Memorization in Rectified Flow
arXiv CS.LG
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ArXi:2603.13421v1 Announce Type: new Generative models based on the Flow Matching objective, particularly Rectified Flow, have emerged as a dominant paradigm for efficient, high-fidelity image synthesis. However, while existing research heavily prioritizes generation quality and architectural scaling, the underlying dynamics of how RF models memorize