Flow Matching in 5 Minutes

In this post, I will try to build an intuitive understanding to the Flow Matching, a framework used to train many state-of-the-art generative image models. In generative modelling, we start with 2 probability distributions: (1) an easily sampled distribution $p_{\text{source}}$ (e.g. a Gaussian distribution) and (2) a target distribution $p_{target}$ containing data points (e.g. images). Our goal…