Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
Localizing AI-edited regions is essential for interpretable forensic analysis, but remains challenging due to subtle and spatially distributed artifacts that are misaligned with semantic or object boundaries. Existing approaches rely on pixel-level supervision from controlled editing pipelines, which is difficult to sc...