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arXiv AI By Simon Freitter, David Fischinger, Silvia Poletti, Marcel Hasenbalg, Martin Boyer

DINO-FIL: Multi-Layer Transformer Fusion for Generative Inpainting Forgery Localization

Read the original on arXiv AI →

DINO-FIL is a transformer-based framework that localizes generative image forgeries at the pixel level. It fuses multi‑layer representations from a pretrained DINOv3 ViT‑H+/16 encoder with a lightweight decoder to detect both semantic and fine‑grained texture inconsistencies. In cross‑dataset experiments, DINO‑FIL outperforms existing baselines on most datasets while preserving a high true‑negative rate for pristine images.

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 AI.

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