TL;DR提出了一种无需额外数据或模型重新训练的去偏置方法,利用属性分布引导生成的图像,通过Attribute Distribution Predictor(ADP)建立属性分布预测器,从而实现公平生成,并通过生成数据平衡训练集来训练公平属性分类器。
Abstract
diffusion models (DMs) have emerged as powerful generative models with unprecedented image generation capability. These models are widely used for data augmentation and creative applications. However, DMs reflect the bi