SOTAVerified

Image Manipulation Detection

The task of detecting images or image parts that have been tampered or manipulated (sometimes also referred to as doctored). This typically encompasses image splicing, copy-move, or image inpainting.

Papers

Showing 1–50 of 73 papers

TitleStatusHype
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era—0
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement—0
LEGION: Learning to Ground and Explain for Synthetic Image Detection—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Data-Driven Fairness Generalization for Deepfake Detection—0
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning—0
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense—0
Digital Image Forensics: A quantitative & qualitative comparison between State-of-the-art-AI and Traditional Techniques for detection and localization of image manipulationsCode0
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection—0
TextSleuth: A New Dataset and Baseline for Scene Text Manipulation DetectionCode0
Harmfully Manipulated Images Matter in Multimodal Misinformation DetectionCode1
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and LocalizationCode3
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & LocalizationCode3
Deep Image Restoration For Image Anti-ForensicsCode0
Deep Image Composition Meets Image ForgeryCode1
Exploring Saliency Bias in Manipulation DetectionCode0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and LocalizationCode1
A New Benchmark and Model for Challenging Image Manipulation DetectionCode1
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency LearningCode1
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
On the Effectiveness of Image Manipulation Detection in the Age of Social Media—0
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
Auto-Focus Contrastive Learning for Image Manipulation Detection—0
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization—0
Towards Effective Image Manipulation Detection with Proposal Contrastive LearningCode1
Noise and Edge Based Dual Branch Image Manipulation DetectionCode1
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Deep PCB To COCO ConvertorCode2
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Proactive Image Manipulation DetectionCode1
ObjectFormer for Image Manipulation Detection and Localization—0
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization—0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions—0
Learning Hierarchical Graph Representation for Image Manipulation Detection—0
Robust Image Forgery Detection Over Online Social Network Shared ImagesCode1
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation DetectionCode1
Learning JPEG Compression Artifacts for Image Manipulation Detection and LocalizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Late FusionBalanced Accuracy0.86—Unverified
3Early FusionBalanced Accuracy0.85—Unverified
4CAT-Net v2Balanced Accuracy0.84—Unverified
5TruForBalanced Accuracy0.81—Unverified
6MVSS-NetBalanced Accuracy0.53—Unverified
7ManTraNetBalanced Accuracy0.5—Unverified
8CR-CNNBalanced Accuracy0.48—Unverified
9SPANBalanced Accuracy0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1Early FusionBalanced Accuracy0.94—Unverified
2TruForBalanced Accuracy0.93—Unverified
3Late FusionBalanced Accuracy0.83—Unverified
4DF-NetAUC0.77—Unverified
5CAT-Net v2Balanced Accuracy0.53—Unverified
6ManTraNetBalanced Accuracy0.5—Unverified
7MVSS-NetBalanced Accuracy0.36—Unverified
8CR-CNNBalanced Accuracy0.29—Unverified
9SPANBalanced Accuracy0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Late FusionBalanced Accuracy0.68—Unverified
2Early FusionBalanced Accuracy0.66—Unverified
3TruForBalanced Accuracy0.64—Unverified
4CAT-Net v2Balanced Accuracy0.58—Unverified
5ManTraNetBalanced Accuracy0.5—Unverified
6CR-CNNBalanced Accuracy0.45—Unverified
7SPANBalanced Accuracy0.3—Unverified
8MVSS-NetBalanced Accuracy0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1TruForBalanced Accuracy0.98—Unverified
2Early FusionBalanced Accuracy0.96—Unverified
3DF-NetAUC0.88—Unverified
4Late FusionBalanced Accuracy0.82—Unverified
5CAT-Net v2Balanced Accuracy0.8—Unverified
6MVSS-NetBalanced Accuracy0.73—Unverified
7CR-CNNBalanced Accuracy0.63—Unverified
8ManTraNetBalanced Accuracy0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Early FusionBalanced Accuracy0.77—Unverified
2Late FusionBalanced Accuracy0.72—Unverified
3TruForBalanced Accuracy0.68—Unverified
4CAT-Net v2Balanced Accuracy0.64—Unverified
5MVSS-NetBalanced Accuracy0.51—Unverified
6ManTraNetBalanced Accuracy0.5—Unverified
7CR-CNNBalanced Accuracy0.39—Unverified
8SPANBalanced Accuracy0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Wu22AUC0.86—Unverified
3Mantra-NetAUC0.76—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.9—Unverified
2Wu22AUC0.83—Unverified
3ManTra-NetAUC0.72—Unverified
4ForSimAUC0.53—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.9—Unverified
2Wu22AUC0.86—Unverified
3ManTra-NetAUC0.75—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Wu22AUC0.87—Unverified
3ManTra-NetAUC0.76—Unverified
4ForSimAUC0.53—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.88—Unverified
2DF-NetAUC0.88—Unverified
3ManTra-NetAUC0.63—Unverified
4ForSimAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.88—Unverified
2DF-NetAUC0.88—Unverified
3ForSimAUC0.65—Unverified
4ManTra-NetAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.89—Unverified
2Wu22AUC0.88—Unverified
3ManTra-NetAUC0.62—Unverified
4ForSimAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.89—Unverified
2DF-NetAUC0.88—Unverified
3ManTra-NetAUC0.63—Unverified
4ForSimAUC0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.86—Unverified
2DF-NetAUC0.77—Unverified
3ForSimAUC0.69—Unverified
4ManTra-NetAUC0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.82—Unverified
2DF-NetAUC0.77—Unverified
3ManTra-NetAUC0.58—Unverified
4ForSimAUC0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.81—Unverified
2DF-NetAUC0.76—Unverified
3ManTra-NetAUC0.61—Unverified
4ForSimAUC0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.84—Unverified
2DF-NetAUC0.77—Unverified
3ManTra-NetAUC0.62—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.78—Unverified
3ManTra-NetAUC0.65—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.76—Unverified
3ManTra-NetAUC0.65—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.79—Unverified
2Wu22AUC0.78—Unverified
3ManTra-NetAUC0.67—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.79—Unverified
3ManTra-NetAUC0.7—Unverified
4ForSimAUC0.59—Unverified