Image Manipulation Localization
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Benchmarks
COVERAGE
Casia V1+
CocoGlide
Columbia
DSO-1
CASIAv1(Protoclo-CAT)
COVERAGE(Protocol-CAT)
Columbia(Protocol-CAT)
NIST16(Protocol-CAT)
Most implemented
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
Image Manipulation Detection by Multi-View Multi-Scale Supervision
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
Papers
GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localization
AI-generated image manipulation localization identifies edited pixels, but its OOD performance lags behind image-level detection partly because pixel supervision entangles forensic evidence with dataset-specific mask geo…
Image Manipulation LocalizationZero-Shot Color Image Manipulation Localization via Noise Residual Artifact Pattern Analysis
Digital cameras embed device-specific artifacts into every acquired image through demosaicing, in-camera post-processing, and lossy compression. These traces constitute a forensic signal that can be exploited to assess i…
Image Manipulation LocalizationForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization
Multi-modal Large Language Models (MLLMs) offer powerful reasoning for forensic tasks, yet existing approaches utilizing exogenous segmentation decoders often suffer from suboptimal localization. The reliance on stitched…
Image Manipulation LocalizationImpostor: An Agent-Curated Benchmark for Realistic AIGC Manipulation Localization
Recent advances in generative image editing have improved the realism and controllability of localized image manipulation, raising new challenges for image manipulation detection and localization (IMDL). However, existin…
Image Manipulation LocalizationImage Manipulation DetectionImage EditingSIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
Text-driven image editing has advanced rapidly, but reliably localizing these manipulations requires image manipulation localization (IML) models trained on large pixel-annotated datasets, and there is still no low-cost …
Image Manipulation LocalizationImage EditingMulti-axis Analysis of Image Manipulation Localization
Advanced image editing software enables easy creation of highly convincing image manipulations, which has been made even more accessible in recent years due to advances in generative AI. Manipulated images, while often h…
Image Manipulation LocalizationImage Manipulation DetectionImage Editing