| # HIFI-Gen Dataset |
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| We propose a high-fidelity synthetic image benchmark named **HIFI-Gen** dataset. |
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| This dataset is introduced in our paper: |
| - Paper: [***DNA: Uncovering Universal Latent Forgery Knowledge***](https://arxiv.org/abs/2601.22515) |
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| Code, models and analysis are available on our GitHub: |
| - GitHub: [**DNA-Uncovering-Universal-Latent-Forgery-Knowledge project** 🔬](https://github.com/jocelyndou/DNA-Uncovering-Universal-Latent-Forgery-Knowledge) |
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| # Dataset Copyright |
| This dataset is constructed for academic and research purposes. Please follow the CC BY-NC 4.0 license and the corresponding source dataset guidelines. |
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| # Citation |
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| Checkout this paper [arxiv: 2601.22515](https://arxiv.org/abs/2601.22515) |
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| ```bibtex |
| @article{dou2026dna, |
| title={Dna: Uncovering universal latent forgery knowledge}, |
| author={Dou, Jingtong and Shi, Chuancheng and Wang, Yemin and Guo, Shiming and Yi, Anqi and Wu, Wenhua and Zhang, Li and Shen, Fei and Chua, Tat-Seng}, |
| journal={arXiv preprint arXiv:2601.22515}, |
| year={2026} |
| } |
