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- ---
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- license: cc-by-nc-sa-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ viewer: false
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+ ---
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+ # NullFace: Training-Free Localized Face Anonymization
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+ ## Test set
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+ We curated a subset of test subjects from the [CelebA-HQ](https://github.com/tkarras/progressive_growing_of_gans) and [FFHQ](https://github.com/NVlabs/ffhq-dataset) datasets for the quantitative comparisons against baseline methods in our paper. Specifically, we selected:
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+ - 4,852 images from [CelebA-HQ](https://github.com/tkarras/progressive_growing_of_gans)
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+ - 4,722 images from [FFHQ](https://github.com/NVlabs/ffhq-dataset)
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+ For each test subject, we generated a corresponding segmentation mask, which is designed to keep the eye and mouth areas visible when needed.
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+ The test subject lists (JSONL format) and segmentation masks can be downloaded in the following structure:
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+
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+ ```bash
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+ nullface-test-set/
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+ β”œβ”€β”€ celeba-hq/
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+ β”‚ β”œβ”€β”€ mask_images/
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+ β”‚ β”‚ β”œβ”€β”€ 00010.png
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+ β”‚ β”‚ └── ...
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+ β”‚ └── metadata.jsonl
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+ β”œβ”€β”€ ffhq/
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+ β”‚ β”œβ”€β”€ mask_images/
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+ β”‚ β”‚ β”œβ”€β”€ 00010.png
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+ β”‚ β”‚ └── ...
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+ β”‚ └── metadata.jsonl
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+ └── README.md
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+ ```