arXiv cs.CV
· Papers
Generative Refinement Networks for Visual Synthesis
arXiv:2604.13030v2 Announce Type: replace Abstract: While diffusion models dominate the field of visual generation, they are computationally inefficient, applying a uniform computational effort regardless of different complexity. In contrast, autoregressive (AR) models are inherently complexity-aware, as evidenced by t