The paper , titled “Visual Autoregressive Modeling: Scalable Image Generation via Next Scale Prediction,” presents a new method for creating AI generated images that Tian and four coauthors—all affiliated with either ByteDance or Peking University—claim is faster and more efficient than its predecessors. “The overall quality of the paper presentation, experimental validation and insights scaling laws give compelling reasons to experiment with this model,” the NeurIPS Best Paper Award committee
