Tabular Data Generation

Tabular Data Generation is the task of creating structured tabular data using generative models. It aims to generate new data that is consistent with the statistical characteristics of the original data by learning the distribution features of existing data. This task has significant application value in scenarios such as data augmentation, privacy protection, and simulation testing.