RAVID detects AI-generated images by retrieving similar images from a database and feeding them to a vision-language model, reporting 93.85% average accuracy on UniversalFakeDetect.
Antifakeprompt: Prompt-tuned vision-language models are fake image detectors
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RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
RAVID detects AI-generated images by retrieving similar images from a database and feeding them to a vision-language model, reporting 93.85% average accuracy on UniversalFakeDetect.