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Julien0123/Ivy-Fake

IVY-FAKE: Unified Explainable Benchmark and Detector for AIGC Content This repository provides the official implementation of IVY-FAKE and IVY-xDETECTOR, a unified explainable framework and benchmark for detecting AI-generated content (AIGC) across both images and videos. 🔍 Overview IVY-FAKE is the first large-scale dataset designed for multimodal explainable AIGC detection. It contains: 150K+ training samples (images + videos) 18.7K evaluation samples… See the full description on the dataset page: https://huggingface.co/datasets/Julien0123/Ivy-Fake.

Author / organizationJulien0123
License (as declared)apache-2.0
Downloads165 (as reported by Hugging Face)
Likes0
Created27 March 2026
Last updated at source27 March 2026
AIGC
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  • 16 Oct 2026 Description: IVY-FAKE: Unified Explainable Benchmark and Detector for AIGC Content This repository provides the official implementation of IVY-FAKE and IVY-xDETECTOR, a unified explainable framework and benchmark for detecting AI-generated content (AIGC → IVY-FAKE: Unified Explainable Benchmark and Detector for AIGC Content This repository provides the official implementation of IVY-FAKE and IVY-xDETECTOR, a unified explainable framework and benchmark for detecting AI-generated content (AIGC

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