Understanding and Improving Training-Free AI-Generated Image Detections
with Vision Foundation Models
Understanding and Improving Training-Free AI-Generated Image Detections
with Vision Foundation Models
The rapid advancement of generative models has introduced serious risks, including deepfake techniques for facial synthesis and editing. Traditional approaches rely on training classifiers and enhancing generalizability through various feature extraction techniques. Meanwhile, training-free detection methods address issues like limited data and overfitting by directly leveraging statistical properties from vision …