Image Forgery Detection
13 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization
Recent image manipulation localization and detection techniques usually leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM and Bayar convolution.
Deep Image Composition Meets Image Forgery
Unlike other automated data generation frameworks, we use state of the art image composition deep learning models to generate spliced images close to the quality of real-life manipulations.
Deep Image Restoration For Image Anti-Forensics
Separate image forensics methods have also been developed to detect these traces.