Modeling the differential response of real versus AI-generated images under secondary generative transformations yields state-of-the-art cross-generator detection on 19 unseen models.
Stay-positive: A case for ignoring real image features in fake image detec- tion.Proceedings of the Internation Conference on Machine Learning, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Do Transformations Reveal the Truth? Generative Residual Learning for Generalized AI-Generated Image Detection
Modeling the differential response of real versus AI-generated images under secondary generative transformations yields state-of-the-art cross-generator detection on 19 unseen models.