Thanasis Pantsios, Dimitrios Karageorgiou, Christos Koutlis, George Karantaidis, Olga Papadopoulou, Symeon Papadopoulos
CERTH-ITI, Thessaloniki, Greece
Presented at MAD '26 – The 5th ACM International Workshop on Multimedia AI against Disinformation
This repository contains the official implementation and datasets for:
Automated In-the-Wild Data Collection for Continual AI-Generated Image Detection
The proposed framework introduces a continual adaptive pipeline for robust AI-generated image detection under evolving real-world conditions.
Figure 1: Overview of the proposed framework.
AIGenImages2026 is a dataset of images generated by recent text-to-image generative models. You can find more details in the paper.
- Dataset Download: Hugging Face Repository
- 5,439 generated images
- 19 recent generative models
- Chronologically organized generators
Example images from AIGenImages2026.
WildFC is an evolving in-the-wild dataset collected through an automated fact-check retrieval pipeline.
- Access Request: Hugging Face Repository
- 2,884 AI-generated images
- 2,298 segmented image samples
- Real-world fact-checked AI-generated content
Example images from WildFC.
Available pre-trained models of paper can be found here: RINE, SPAI
Guidelines for training and evaluation of our framework on RINE and SPAI can be found here and here
Real/fake training pairs (wildfc_pairs.csv, aigenimages2026_pairs.csv) and details of the evaluation sets (evaluation/) are available in the WildFC Hugging Face repository.
If you use our datasets or framework in your research, please cite the following paper:
@inproceedings{pantsios2026wildfc,
title={Automated In-the-Wild Data Collection for Continual AI Generated Image Detection},
author={Pantsios, Thanasis and Karageorgiou, Dimitrios and Koutlis, Christos and Karantaidis, George and Papadopoulou, Olga and Papadopoulos, Symeon},
booktitle={Proceedings of the 5th ACM International Workshop on Multimedia AI against Disinformation (MAD '26')},
year={2026}
}This work received funding from:
- AI-CODE (GA No. 101135437)
- ELIAS (GA No. 101120237)
If there are any questions, please feel free to contact:
Thanasis Pantsios
📧 apantsios@iti.gr