SOURCE-LINKED INTELLIGENCE
Multi-Tool Image Editing Attribution in Facial Forgery
As generative AI tools become increasingly powerful and easy to use, people can easily edit portrait images with a prompt, necessitating the task of image editing attribution, which predicts the involved editing tools from the given image. Existing attribution methods hold the single-tool assumption and can only attribute a specific editing tool, but struggle to handle the more complex and increasingly common multi-tool editing scenarios, where artifacts left by different editing tools are composite and overlapped. To address this gap, we explore Multi-Tool Image Editing Attribution (MIEA), wh
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T15:51:26.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.