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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 73 papers

TitleStatusHype
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and LocalizationCode3
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & LocalizationCode3
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
Explicit Visual Prompting for Universal Foreground SegmentationsCode2
Explicit Visual Prompting for Low-Level Structure SegmentationsCode2
Deep PCB To COCO ConvertorCode2
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
Harmfully Manipulated Images Matter in Multimodal Misinformation DetectionCode1
Deep Image Composition Meets Image ForgeryCode1
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
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Towards Effective Image Manipulation Detection with Proposal Contrastive LearningCode1
Noise and Edge Based Dual Branch Image Manipulation DetectionCode1
Proactive Image Manipulation DetectionCode1
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
Image Manipulation Detection by Multi-View Multi-Scale SupervisionCode1
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and LocalizationCode1
SPAN: Spatial Pyramid Attention Network for Image Manipulation LocalizationCode1
Video Face Manipulation Detection Through Ensemble of CNNsCode1
Neural Imaging Pipelines - the Scourge or Hope of Forensics?Code1
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution ChannelsCode1
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
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
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
Deep Image Restoration For Image Anti-ForensicsCode0
Exploring Saliency Bias in Manipulation DetectionCode0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
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
On the Effectiveness of Image Manipulation Detection in the Age of Social Media—0
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
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Show:102550
← PrevPage 1 of 2Next →
All datasetsCasia V1+DSO-1CocoGlideColumbiaCOVERAGECASIA (OSN-transmitted - Facebook)CASIA (OSN-transmitted - Wechat)CASIA (OSN-transmitted - Weibo)CASIA (OSN-transmitted - Whatsapp)Columbia (OSN-transmitted - Facebook)Columbia (OSN-transmitted - Wechat)Columbia (OSN-transmitted - Weibo)

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
1DF-NetAUC0.88—Unverified
2Wu22AUC0.88—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