Block Diffusion: Interpolating Between Autoregressive and Diffusion Models

The article proposes a novel deep learning framework for image super-resolution, which combines the strengths of Convolutional Neural Networks and Generative Adversarial Networks to produce high-quality, visually realistic results that outperform state-of-the-art methods.