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+ # 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:
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+ - 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:
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+ - GitHub: [**DNA-Uncovering-Universal-Latent-Forgery-Knowledge project** 🔬](https://github.com/jocelyndou/DNA-Uncovering-Universal-Latent-Forgery-Knowledge)
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+ # Dataset Copyright
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+ 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
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+ @article{dou2026dna,
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+ title={Dna: Uncovering universal latent forgery knowledge},
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+ 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},
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+ journal={arXiv preprint arXiv:2601.22515},
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+ year={2026}
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+ }