 extraction. Using the above metrics helps evaluate models that are class-conditioned. For example, DiT. It was pre-trained being conditioned on the ImageNet-1k classes.  Class-conditioned image generation Class-conditioned generative models are usually pre-trained on a class-labeled dataset such as ImageNet-1k. Popular metrics for evaluating these models include Fréchet Inception Distance (FID), Kernel Inception Distance (KID), and Inception S