2024
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
ICASSP 2024accepted
While diffusion models demonstrate a remarkable capability for generating high-quality images, their tendency to ‘replicate’ training data raises privacy concerns. Although recent research suggests that this replication may stem from the insufficient generalization of training data captions and dupl…