="paper-summary">Diffusion Transformers (DiTs) achieve remarkable performance within the
domain of image generation through the incorporation of the transformer
architecture. Conventionally, DiTs are constructed by stacking serial isotropic
global information modeling transformers, which face significant computational
cost when processing high-resolution images. We empirically analyze that latent
space image generation does not exhibit a strong dependence on global
information as traditionally assumed. Most