VAR
Explore Visual Autoregressive Modeling (VAR), a cutting-edge method that improves upon traditional image generation models with next-scale prediction, surpassing diffusion models. This technique enhances autoregressive learning using transformers and reveals power-law scaling, along with zero-shot generalizability. Featured at NeurIPS 2024, VAR presents a significant advancement in scalable image generation. Visit our demo website to experience its interactive high-quality image creation.
