AI RESEARCH
Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios
arXiv CS.CV
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ArXi:2509.20006v3 Announce Type: replace With the large models easing the labor-intensive manipulation process, image manipulations in today's real scenarios often entail a complex manipulation process, comprising a series of editing operations to create a deceptive image. However, existing IML methods remain manipulation-process-agnostic, directly producing localization masks in a one-shot prediction paradigm without modeling the underlying editing steps.