Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911860812414976 |
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| author | Tariang, Diangarti Corvi, Riccardo Cozzolino, Davide Poggi, Giovanni Nagano, Koki Verdoliva, Luisa |
| author_facet | Tariang, Diangarti Corvi, Riccardo Cozzolino, Davide Poggi, Giovanni Nagano, Koki Verdoliva, Luisa |
| contents | 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 hot topics in this field and outline promising directions for future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_00196 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet Tariang, Diangarti Corvi, Riccardo Cozzolino, Davide Poggi, Giovanni Nagano, Koki Verdoliva, Luisa Computer Vision and Pattern Recognition 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 hot topics in this field and outline promising directions for future research. |
| title | Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2405.00196 |