Leveraging Self-Supervised Representations to Enable Efficient Large-Scale Image Synthesis in Specialized Domains

Self-supervised learning representations can effectively condition diffusion models to generate high-quality images in specialized domains like digital histopathology and satellite imagery, enabling efficient large-image synthesis without the need for extensive human annotations.