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20242026
most citedAutomated In-the-Wild Data Collection for Continual AI Generated Image Detection

1 citations · 1 across the 3 of their papers we have counts for

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5 papers

cs.CV20261 cited

Automated In-the-Wild Data Collection for Continual AI Generated Image Detection

Thanasis Pantsios, Dimitrios Karageorgiou, Christos Koutlis +3

The rapid advancement of generative Artificial Intelligence (AI) has introduced significant challenges for reliable AI-generated image detection. Existing detectors often suffer fr…

cs.CV2026

TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark

Hannes Mareen, Dimitrios Karageorgiou, Paschalis Giakoumoglou +3

Generative AI has made text-guided inpainting a powerful image editing tool, but at the same time a growing challenge for media forensics. Existing benchmarks, including our text-g…

cs.CV2025

SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting

Paschalis Giakoumoglou, Dimitrios Karageorgiou, Symeon Papadopoulos +1

Recent advancements in generative AI have made text-guided image inpainting - adding, removing, or altering image regions using textual prompts - widely accessible. However, genera…

cs.CV2024

Any-Resolution AI-Generated Image Detection by Spectral Learning

Dimitrios Karageorgiou, Symeon Papadopoulos, Ioannis Kompatsiaris +1

Recent works have established that AI models introduce spectral artifacts into generated images and propose approaches for learning to capture them using labeled data. However, the…

cs.CV2024

Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images

Dimitrios Karageorgiou, Quentin Bammey, Valentin Porcellini +3

Synthetic images disseminated online significantly differ from those used during the training and evaluation of the state-of-the-art detectors. In this work, we analyze the perform…