FusionDiff: a dual-path diffusion-based framework for few-shot authenticity analysis of ceramic microstructures

Researchers have developed FusionDiff, a dual-path framework that utilizes pretrained diffusion models to analyze ceramic microstructures for authenticity. By combining CNN and DeiT architectures, the model achieves high accuracy in identifying materials even with very limited training samples.