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20222025
most citedOn the detection of synthetic images generated by diffusion models

10 citations · 17 across the 5 of their papers we have counts for

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cs.CV2025

Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation

Riccardo Corvi, Davide Cozzolino, Ekta Prashnani +3

Synthetic video generation is progressing very rapidly. The latest models can produce very realistic high-resolution videos that are virtually indistinguishable from real ones. Alt…

cs.CV2024

Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet

Diangarti Tariang, Riccardo Corvi, Davide Cozzolino +3

In this work we present an overview of approaches for the detection and attribution of synthetic images and highlight their strengths and weaknesses. We also point out and discuss…

cs.CV2023★ 3 cited

Raising the Bar of AI-generated Image Detection with CLIP

Davide Cozzolino, Giovanni Poggi, Riccardo Corvi +2

The aim of this work is to explore the potential of pre-trained vision-language models (VLMs) for universal detection of AI-generated images. We develop a lightweight detection str…

cs.CV2023★ 3 cited

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Riccardo Corvi, Davide Cozzolino, Giovanni Poggi +2

Detecting fake images is becoming a major goal of computer vision. This need is becoming more and more pressing with the continuous improvement of synthesis methods based on Genera…

cs.CV2022★ 10 cited

On the detection of synthetic images generated by diffusion models

Riccardo Corvi, Davide Cozzolino, Giada Zingarini +3

Over the past decade, there has been tremendous progress in creating synthetic media, mainly thanks to the development of powerful methods based on generative adversarial networks…