ForensicZoom: Adaptive Visual Inspection with Multimodal LLMs for Industrial-Grade Face Forgery Detection

arXiv:2609.31661 · cs.CV · Submitted 2026-09-15 · Read on arXiv

cs.CV

Submitted: 2026-09-15

Updated: 2026-09-15

Terminology

• Verification — 19× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 9× in this paper
• Alignment — 8× in this paper · explained in 1 episode
• Regularization — 6× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Generative AI — 5× in this paper · explained in 2 episodes
• Attention Entropy — 4× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Actionability — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• AUC — 2× in this paper · explained in 2 episodes
• Active Perception — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Forensic Query Bank — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Group Sequence Policy Optimization — 2× in this paper
• Reward Shaping — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Direct Preference Optimization — 1× in this paper
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• European Conference on Computer Vision — 1× in this paper
• Foundation Model — 1× in this paper · explained in 3 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mechanistic interpretability — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Proximal Policy Optimization — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
• Combining EfficientNet and Vision Transformers for Video Deepfake Detection
• Generative Adversarial Networks
• Denoising Diffusion Probabilistic Models
• FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
• Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
• Explainable Deepfake Detection with RL Enhanced Self-Blended Images
• A Style-Based Generator Architecture for Generative Adversarial Networks
• ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
• Detecting GAN-generated Imagery using Color Cues
• Towards Universal Fake Image Detectors that Generalize Across Generative Models
• Proximal Policy Optimization Algorithms
• How does My Model Fail? Automatic Identification and Interpretation of Physical Plausibility Failure Modes with Matryoshka Transcoders
• Human-like Content Analysis for Generative AI with Language-Grounded Sparse Encoders
• CNN-generated images are surprisingly easy to spot... for now
• ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
• V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs
• Identity-Aware Vision-Language Model for Explainable Face Forgery Detection
• MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models

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