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Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

ReGFLoW localizes diffusion-edited fake regions with only image-level labels by guiding feature and score spaces with diffusion reconstruction errors via artifact-centric multiple instance learning, outperforming fully supervised cross-dataset and cross-generator baselines without target adaptation.

Junhee Lee, JeonDongHyeon, Taeoh Kim, beomYoung Kim and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5