ChatGPT Images 2.5 on Forgery Tasks: Testing Advertised Improvements Against Known Answers

arXiv:2609.13617 · cs.CV · Submitted 2026-09-12 · Read on arXiv

cs.CV

Submitted: 2026-09-12

Updated: 2026-09-16

Code: https://github.com/JaidedAI/EasyOCR

Terminology

• AUC — 43× in this paper · explained in 2 episodes
• Fidelity — 24× in this paper · explained in 2 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Core — 10× in this paper · explained in 2 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Calibration — 8× in this paper · explained in 7 episodes
• alpha — 6× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Provenance — 5× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Exchangeability — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• GEditBench v2: A Human-Aligned Benchmark for General Image Editing
• TextDiffuser: Diffusion Models as Text Painters
• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
• DINOv2: Learning Robust Visual Features without Supervision
• Spatial Dual-Modality Graph Reasoning for Key Information Extraction
• LLM Evaluators Recognize and Favor Their Own Generations
• Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
• When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents
• AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents
• ImgEdit: A Unified Image Editing Dataset and Benchmark
• GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

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