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---
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license: cc-by-nc-sa-4.0
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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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```bash
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nullface-test-set/
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├── celeba-hq/
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│ ├── mask_images/
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│ │ ├── 00010.png
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│ │ └── ...
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│ └── metadata.jsonl
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├── ffhq/
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│ ├── mask_images/
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│ │ ├── 00010.png
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│ │ └── ...
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│ └── metadata.jsonl
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└── README.md
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```
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