On The Detection of Synthetic Images Generated by Diffusion Models

Author:

Corvi Riccardo1,Cozzolino Davide1,Zingarini Giada1,Poggi Giovanni1,Nagano Koki2,Verdoliva Luisa1

Affiliation:

1. University Federico II of Naples,Italy

2. NVIDIA

Funder

Ministry of Education

Publisher

IEEE

Reference34 articles.

1. IEEE Video and Image Processing Cup;corvi,2022

2. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods;platt;Advances in Large Margin Classiers,1999

3. StyleGAN3 Synthetic Image Detection;nagano,2021

4. CNN-Generated Images Are Surprisingly Easy to Spot… for Now

5. DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models;sha,2022

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2. Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions];IEEE Signal Processing Magazine;2023-11

3. Online Detection of AI-Generated Images;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Intriguing properties of synthetic images: from generative adversarial networks to diffusion models;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. On the use of Stable Diffusion for creating realistic faces: from generation to detection;2023 11th International Workshop on Biometrics and Forensics (IWBF);2023-04-19

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