Skup podataka sa Zenodo · Pedrouzo Rodriguez, Laura
AVAPrintDB: A Public Multi-Generator Avatar Fingerprinting Database and Benchmark
- Licenca
- CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- ZIP
- Veličina
- 51 GB
- Ažurirano
- 16. 9. 2026.
Opis
Description AVAPrintDB is the first fully public multi-generator avatar fingerprinting resource, published in the paper "Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark" , and combines: A large-scale photorealistic talking-head avatar database, Atandardized evaluation protocols, Publicly available benchmark code, Pretrained checkpoints, Preprocessing pipelines, and reproducibility resources. The benchmark spans 66k+ avatar videos generated with three state-of-the-art avatar generators from distinct synthesis paradigms ( GAGAvatar ( Neurips 2024), LivePortrait (2025), and HunyuanPortrait (CVPR 2025)), two audiovisual source datasets ( RAVDESS and CREMA-D ), and multiple evaluation settings including generator shift , dataset shift , and demographic analysis . Contents Here we provide the database files used for the benchmark, containing: MP4 files of photorealistic avatar videos, in videos.zip Preprocessed landmarks for those videos, in landmarks.zip Preprocessed embeddings from CLIP and DiNOv2, in embeddings.zip Metadata for database expansion and reproducibility, in metadata.zip For more details about the database…
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