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Giovanni Poggi

3 accepted papers

2024

M3DSYNTH: A Dataset of Medical 3D Images with AI-Generated Local Manipulations

ICASSP 2024accepted

The ability to detect manipulated visual content is becoming increasingly important in many application fields, given the rapid advances in image synthesis methods. Of particular concern is the possibility of modifying the content of medical images, altering the resulting diagnoses. Despite its rele…

Cited by 0SourceScholar
2024

Zero-Shot Detection of AI-Generated Images

ECCV 2024oral

"Detecting AI-generated images has become an extraordinarily difficult challenge as new generative architectures emerge on a daily basis with more and more capabilities and unprecedented realism. New versions of many commercial tools, such as DALL·E, Midjourney, and Stable Diffusion, have been relea…

2023

On The Detection of Synthetic Images Generated by Diffusion Models

ICASSP 2023accepted

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 (GAN). Very recently, methods based on diffusion models (DM) have been gaining the spotlight. In addition to providing a…

Cited by 0SourceScholar