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cs.CV2026

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

Kidus Zewde, Simiao Ren, Xingyu Shen +6

The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content has never been more difficult…

cs.CV2026

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

Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng +5

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…

cs.CV2026

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator

Kidus Zewde, Yuchen Zhou, Dennis Ng +6

Large vision-language models have achieved remarkable capabilities by training on massive internet-scale data, yet a fundamental asymmetry persists: while LLMs can leverage self-su…

cs.CV2026

DOCFORGE-BENCH: A Comprehensive 0-shot Benchmark for Document Forgery Detection and Analysis

Zengqi Zhao, Weidi Xia, En Wei +7

We present DOCFORGE-BENCH, the first unified zero-shot benchmark for document forgery detection, evaluating 14 methods across eight datasets spanning text tampering, receipt forger…

cs.CV2026

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents

Jiaqi Wu, Yuchen Zhou, Muduo Xu +6

We present AIForge-Doc, the first dedicated benchmark targeting exclusively diffusion-model-based inpainting in financial and form documents with pixel-level annotation. Existing d…

cs.CV2026

Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems

Xingyu Shen, Tommy Duong, Xiaodong An +6

Age estimation systems are increasingly deployed as gatekeepers for age-restricted online content, yet their robustness to cosmetic modifications has not been systematically evalua…