Generative Calibration Clustering: Leveraging Conditional Diffusion Models to Enhance Unsupervised Image Clustering

The core message of this paper is to propose a novel Generative Calibration Clustering (GCC) method that effectively incorporates feature learning and image augmentation via conditional diffusion models to improve the performance of unsupervised image clustering.