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GPT-Image-2 fakes documents so well, even AI judges can't tell them apart

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 2 sources

A new paper demonstrates that OpenAI's GPT-Image-2 can generate document forgeries that are virtually indistinguishable from authentic images, even to human inspectors. Researchers developed a dataset of 3,066 such forgeries and found that standard forensic tools and even GPT-Image-2 itself struggled to detect the AI-generated edits. This highlights a significant gap in current AI image detection capabilities for sophisticated document manipulation. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Highlights a critical gap in AI image detection, potentially impacting document verification and trust in digital media.

RANK_REASON Academic paper detailing a new dataset and benchmark for AI-generated image forgeries.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 · Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng, Xingyu Shen, Kidus Zewde, Ankit Raj, Tommy Duong, Simiao Ren ·

    When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents

    arXiv:2604.25213v1 Announce Type: new Abstract: OpenAI's GPT-Image-2 has effectively erased the visual boundary between authentic and AI-edited document images: a single number on a receipt can be replaced in under a second for a few cents. We release AIForge-Doc v2, a paired dat…

  2. arXiv cs.CV TIER_1 · Simiao Ren ·

    When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents

    OpenAI's GPT-Image-2 has effectively erased the visual boundary between authentic and AI-edited document images: a single number on a receipt can be replaced in under a second for a few cents. We release AIForge-Doc v2, a paired dataset of 3,066 GPT-Image-2 document forgeries wit…

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