Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology

Diagnoses from histopathology images rely on information from both high and low resolutions of WSIs. URCDMs allow for the synthesis of high-resolution images that are realistic at all magnifications, focusing not only on fidelity but also on long-distance spatial coherency. Our model beats existing methods, improving the pFID-50k score by 110.63 to 39.52 pFID-50k. Additionally, a human expert evaluation study was performed, reaching a weighted Mean Absolute Error (MAE) of 0.11 for the LRDM and a weighted MAE of 0.22 for the URCDM.