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# *Community Forensics: Using Thousands of Generators to Train Fake Image Detectors (CVPR 2025)*
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[Paper](https://arxiv.org/abs/2411.04125)/[Project Page](https://jespark.net/projects/2024/community_forensics/)
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This is a small version of the [Community Forensics dataset](https://huggingface.co/datasets/OwensLab/CommunityForensics). It contains roughly 11% of the generated images of the base dataset and
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We distribute this dataset with `cc-nc-by-sa-4.0` license for non-commercial research purposes only
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| Version | GAN | Lat. Diff. | Pix. Diff. | Commercial | Other | Mean |
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| :------ | :---: | :--------: | :--------: | :--------: | :----: | :---: |
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# *Community Forensics: Using Thousands of Generators to Train Fake Image Detectors (CVPR 2025)*
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[Paper](https://arxiv.org/abs/2411.04125)/[Project Page](https://jespark.net/projects/2024/community_forensics/)
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This is a small version of the [Community Forensics dataset](https://huggingface.co/datasets/OwensLab/CommunityForensics). It contains roughly 11% of the generated images of the base dataset and is paired with real data with redistributable license. This dataset is intended for easier prototyping as you do not have to download the corresponding real datasets separately.
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We distribute this dataset with a `cc-nc-by-sa-4.0` license for non-commercial research purposes only.
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The following table shows the performance (AP) difference between the classifier trained on the base dataset and this version of the dataset:
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| Version | GAN | Lat. Diff. | Pix. Diff. | Commercial | Other | Mean |
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| :------ | :---: | :--------: | :--------: | :--------: | :----: | :---: |
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