Omni-IML: Towards Unified Image Manipulation Localization arrow-up-right
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection arrow-up-right
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model arrow-up-right
Dual JPEG Compatibility: a Reliable and Explainable Tool for Image Forensics arrow-up-right
Is JPEG AI going to change image forensics? arrow-up-right
Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation arrow-up-right
Image manipulation localization via dynamic cross-modality fusion and progressive integration arrow-up-right
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning arrow-up-right
Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization (HiFi-Net++) arrow-up-right arrow-up-right
Image Manipulation Detection With Implicit Neural Representation and Limited Supervision arrow-up-right
AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network arrow-up-right
Noise-assisted Prompt Learning for Image Forgery Detection and Localization arrow-up-right
Learning Universal Features for Generalizable Image Forgery Localization arrow-up-right
A Large-scale Interpretable Multi-modality Benchmark for Image Forgery Localization arrow-up-right
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training arrow-up-right
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization arrow-up-right
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Modelsarrow-up-right arrow-up-right arrow-up-right
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Modelsarrow-up-right arrow-up-right arrow-up-right
EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning arrow-up-right
Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation arrow-up-right
Detecting and Grounding Multi-Modal Media Manipulation and Beyond arrow-up-right arrow-up-right
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection arrow-up-right
Auto-focus tracing: Image manipulation detection with artifact graph contrastive arrow-up-right arrow-up-right
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification arrow-up-right
Image manipulation detection and localization using multi-scale contrastive learning arrow-up-right
Attentive and Contrastive Image Manipulation Localization With Boundary Guidance arrow-up-right
Multi-view Feature Extraction via Tunable Prompts is Enough for Image Manipulation Localization arrow-up-right
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review arrow-up-right
TGIF: Text-Guided Inpainting Forgery Dataset arrow-up-right arrow-up-right
Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization arrow-up-right arrow-up-right
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization arrow-up-right arrow-up-right
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization arrow-up-right arrow-up-right
DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network arrow-up-right
DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention arrow-up-right
EC-Net: General image tampering localization network based on edge distribution guidance and contrastive learning arrow-up-right
Frequency-constrained transferable adversarial attack on image manipulation detection and localization arrow-up-right
A Contribution-Aware Noise Feature representation model for image manipulation localization arrow-up-right
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusionarrow-up-right arrow-up-right arrow-up-right
PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning arrow-up-right
Diffusion models meet image counter-forensics arrow-up-right arrow-up-right
Research about the Ability of LLM in the Tamper-Detection Area arrow-up-right
Deep Image Restoration For Image Anti-Forensics arrow-up-right arrow-up-right
Deep Image Composition Meets Image Forgery arrow-up-right arrow-up-right
Fusion Transformer with Object Mask Guidance for Image Forgery Analysisarrow-up-right arrow-up-right arrow-up-right
Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization arrow-up-right arrow-up-right
A New Benchmark and Model for Challenging Image Manipulation Detectionarrow-up-right arrow-up-right arrow-up-right
MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization arrow-up-right arrow-up-right
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization arrow-up-right
CatmullRom Splines-Based Regression for Image Forgery Localization arrow-up-right
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization arrow-up-right
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methodsarrow-up-right arrow-up-right arrow-up-right
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection arrow-up-right arrow-up-right
DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization arrow-up-right
IML-ViT: Image Manipulation Localization by Vision Transformer arrow-up-right arrow-up-right
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data arrow-up-right
Last updated 1 year ago
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