Datasets:
Upload FFHQ attribution metadata and viewer files
Browse files- README.md +6 -6
- metadata/all.parquet +2 -2
- metadata/by_model/adm-ffhq-256.parquet +2 -2
- metadata/by_model/cips-ffhq-256.parquet +2 -2
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- metadata/by_model/ldm-ffhq-256.parquet +2 -2
- metadata/by_model/ncsnpp-ffhq-256.parquet +2 -2
- metadata/by_model/nvae-ffhq-256.parquet +2 -2
- metadata/by_model/r3gan-ffhq-256.parquet +2 -2
- metadata/by_model/stylegan2-ffhq-256.parquet +2 -2
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- metadata/by_model/vdvae-ffhq-256.parquet +2 -2
- metadata/by_model/vqvae-ffhq-256.parquet +2 -2
- metadata/export_summary.json +31 -31
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README.md
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# FFHQ Image Attribution
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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[
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> Version `
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## Why this dataset
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| Images | Models | Families | Version |
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|---:|---:|---:|---|
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| **
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## Coverage
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- Intended for research on model attribution, image provenance, model fingerprinting, and generated-face forensics.
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- All images are `256x256` and come from FFHQ-trained generators.
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- `vqvae-ffhq-256` is reconstruction-based, unlike the other models that directly sample generated images.
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- This public release includes `
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- Use of this dataset remains subject to the licenses and terms of the upstream model checkpoints and FFHQ-related resources.
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## Citation
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year = {2026},
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publisher = {{Hugging Face}},
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url = {https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution},
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note = {Version:
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}
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```
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# FFHQ Image Attribution
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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[](https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution)
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A public benchmark for **FFHQ model attribution**, built from twelve face generators spanning GAN, VAE, and diffusion families.
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> Version `v2` includes `10,000` images from each of `12` FFHQ-trained generators for a total of `120,000` images.
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## Why this dataset
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| Images | Models | Families | Version |
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|---:|---:|---:|---|
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| **120,000** | **12** | **3** | **v2** |
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## Coverage
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- Intended for research on model attribution, image provenance, model fingerprinting, and generated-face forensics.
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- All images are `256x256` and come from FFHQ-trained generators.
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- `vqvae-ffhq-256` is reconstruction-based, unlike the other models that directly sample generated images.
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- This public release includes `10,000` images per model from the current FFHQ bank snapshot.
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- Use of this dataset remains subject to the licenses and terms of the upstream model checkpoints and FFHQ-related resources.
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## Citation
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year = {2026},
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publisher = {{Hugging Face}},
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url = {https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution},
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note = {Version: v2}
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}
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```
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