ゼロ保存・危機対応保護:アップロードされた証拠データは揮発性メモリ内でのみ解析され、即座に完全破棄されます。ログやクラウド保存は一切ありません。

Next-Gen Face Swapper脅威の深刻度レベル: 危機的

FaceFusion Deepfake Detector: Next-Gen Video Face Swapping Forensics

Comprehensive forensic analysis of the premier modern face-swapping and video enhancement pipeline.

Sealed Roseでメディアの真偽を検証

即時ニューラル解析 · 無料 · アカウント不要 · 保存ゼロ · メモリ内処理

動画・フェイススワップを検証

FaceFusion is the premier open-source face-swapping and face-enhancement framework. It combines high-resolution face swapping (Ghost, Inswapper) with neural restoration (CodeFormer, GFPGAN) and frame color matching. Despite its photorealism, Sealed Rose detects the boundary masks and restoration artifacts left by FaceFusion.

重要な警告サイン・兆候

1Overly Sharp Facial Features Compared to Hair and Clothes

The eyes, lips, and nostrils are unnaturally crisp while the surrounding hair and clothing exhibit natural camera compression blur.

2Teeth Pattern Duplication Across Different Emotions

CodeFormer enhancement generates idealized symmetrical teeth that look identical across varying mouth movements.

FaceFusion Enhancement Pipeline Artifacts

  • Dual-Pass Restoration Discontinuity: Running GFPGAN or CodeFormer over the swapped face creates a measurable frequency discrepancy between face pixels and the rest of the image.

被害を防ぐための対策手順

ステップ 1

Analyze Media in Sealed Rose Video Detector

Our multi-model classifier pinpoints dual-pass restoration and facial boundary masks.

よくある質問

Can FaceFusion be detected?

Yes! While visually convincing to human eyes, neural restorers like CodeFormer leave unmistakable high-frequency noise discrepancies that Sealed Rose’s forensic pipeline flags immediately.

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