Datasets:
Document RetinaFace-blurred model outputs
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README.md
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Each `test_pairs*.txt` contains one pair per line: `<cloth_path> <image_path>`.
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## License
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This dataset is available for **non-commercial academic research, teaching, and publication only**.
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Each `test_pairs*.txt` contains one pair per line: `<cloth_path> <image_path>`.
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## RetinaFace-Blurred Model Outputs
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[`VT_model_results_retinaface_100/`](VT_model_results_retinaface_100) provides a standardized qualitative comparison set for **19 virtual try-on models** on **100 identical person-garment input pairs**, for a total of **1,900 generated images**.
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The 100 inputs are the first 100 pairs in [`benchmark_complex_bg/test_pairs.txt`](benchmark_complex_bg/test_pairs.txt). Every model is evaluated on the same person image and garment image. Faces detected in the generated results were blurred using RetinaFace-based detection followed by Gaussian blurring. Results for which RetinaFace did not detect a face were retained unchanged; aggregate preprocessing statistics are reported in `processing_report.json`.
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Evaluated models: CAT-DM, CatVTON, CrossVTON, DA-FLOW, FitDit, FS-VTON, HR-VITON, IDM-VTON, LaDI-VTON, Leffa, Nano-Banana, OOTD, PF-AFN, Qwen-Edit, SD-VITON, Seedream, StableVITON, TPD, and VTON-HandFit.
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```
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VT_model_results_retinaface_100/
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results/
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<model_name>/ # 100 generated images per model
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<sample_id>.png
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pairs.tsv # sample IDs and repository-relative input paths
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model_sources.tsv # model names and repository-relative result directories
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processing_report.json
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errors.tsv # processing errors (none for this release)
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```
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Each result filename matches the person-image filename for its corresponding row in `pairs.tsv`. All paths in the manifests are relative to the root of this Hugging Face dataset repository. These generated results are distributed for non-commercial academic use under the same restrictions as the source CBC subset.
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## License
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This dataset is available for **non-commercial academic research, teaching, and publication only**.
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