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arXiv Computer Vision By Anton Nuzhdin, Marcel Worring, Ivona Najdenkoska

FUSED: Forensic-Semantic Mixture-of-Experts for AI Inpainting Detection and Localization

Read the original on arXiv Computer Vision →

FUSED is a new framework that jointly detects and localizes AI-generated inpainting by combining low-level forensic cues with high-level semantic features through a sparsely-gated Mixture-of-Experts architecture. It predicts both an image-level manipulation score and a pixel-level mask of the inpainted region. On the OpenSDID cross-generator benchmark, FUSED outperforms existing methods, especially on unseen generators, and transfers effectively to the AutoSplice and CocoGlide benchmarks, doubling localization performance.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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