IMFD: End-to-end Multi-Face Forgery Detection through Instruction-based Large Vision-Language Models

arXiv:2609.19693 · cs.CV · Submitted 2026-09-17 · Read on arXiv

cs.CV

Submitted: 2026-09-17

Updated: 2026-09-26

Code: https://github.com/somcandy08/IMFD

Terminology

• Grounding — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• COCO-style Average Precision — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Microsoft COCO: Common Objects in Context
• GPT-4 Technical Report
• Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
• Learning Transferable Visual Models From Natural Language Supervision
• Diffusion Models Beat GANs on Image Synthesis
• Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
• MPDS: A Movie Posters Dataset for Image Generation with Diffusion Model
• UCF: Uncovering Common Features for Generalizable Deepfake Detection
• COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection

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