DINOv3 with LoRA adaptation and a lightweight convolutional decoder achieves higher average pixel-level F1 scores than previous state-of-the-art specialized methods for image manipulation localization on multiple benchmarks.
Learning jpeg compression ar- tifacts for image manipulation detection and localization.In- ternational Journal of Computer Vision, 130(8):1875–1895
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DINOv3 Beats Specialized Detectors: A Simple Foundation Model Baseline for Image Forensics
DINOv3 with LoRA adaptation and a lightweight convolutional decoder achieves higher average pixel-level F1 scores than previous state-of-the-art specialized methods for image manipulation localization on multiple benchmarks.