2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
ICCV 2025poster
The rapid progress of diffusion models highlights the growing need for detecting generated images. Previous research demonstrates that incorporating diffusion-based measurements, such as reconstruction error, can enhance the generalizability of detectors. However, ignoring the differing impacts of a…