Definition
A generative modeling technique that trains a model to transform a simple noise distribution into the target data distribution by learning a continuous, non-linear flow.
In short: A generative modeling technique that trains a model to transform a simple noise distribution into the target data distribution by learning a continuous, non-linear flow.