TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2
Text-rich images often contain privacy-sensitive, transactional, or decision-relevant information. As recent multimodal image generation models become increasingly capable of synthesizing realistic textual content and structured visual designs, detecting AI-generated text-rich images has become an important challenge for digital trust and content authenticity. Existing benchmarks, however, largely focus on object-centric images and provide limited coverage of scenarios where textual semantics and layout organization are central. In this paper, we introduce TextRich, a multi-domain benchmark for detecting text-rich images generated by OpenAI's GPT-Image-2. The benchmark contains 12,095 ima...
| Authors | Yijin Wang, Shuyi Wang, Wenhan Zhang et al. |
|---|---|
| Primary category | cs.CV |
| Published | 17 June 2026 |
| Last updated at source | 26 July 2026 |
Connected in the knowledge graph
- Shuyiww/TextRichDataset · cited by
- Luc7d/TextRichDataset · cited by
Models and datasets referencing this paper
- Shuyiww/TextRichDataset
- Luc7d/TextRichDataset
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