Image Forgery Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (47 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DF-Net: The Digital Forensics Network for Image Forgery Detection
  28 Mar 2025 2 repositories listed
  The orchestrated manipulation of public opinion, particularly through manipulated images, often spread via online social networks (OSN), has become a serious threat to society.
• FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
  3 Oct 2024 2 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 4 pointer-only (licence)
  The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect.
• SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection
  25 Jun 2025 1 repository listed
  This paper proposed a novel forgery detection framework called SFNet, designed to identify fake images in diverse remote sensing data by leveraging spatial and frequency domain features.
• Learning Universal Features for Generalizable Image Forgery Localization
  10 Apr 2025 1 repository listed
  In recent years, advanced image editing and generation methods have rapidly evolved, making detecting and locating forged image content increasingly challenging.
• Digital Image Forensics: A quantitative & qualitative comparison between State-of-the-art-AI and Traditional Techniques for detection and localization of image manipulations
  1 Sep 2024 1 repository listed
  Using Digital Image Forensics, the primary objective of this work is to conduct a comprehensive quantitative and qualitative study that compares traditional forensic techniques to a state-of-the-art AI based approach.
• Deep Image Restoration For Image Anti-Forensics
  4 May 2024 1 repository listed
  Separate image forensics methods have also been developed to detect these traces.
• Deep Image Composition Meets Image Forgery
  3 Apr 2024 1 repository listed
  Unlike other automated data generation frameworks, we use state of the art image composition deep learning models to generate spliced images close to the quality of real-life manipulations.
• Fusion Transformer with Object Mask Guidance for Image Forgery Analysis
  18 Mar 2024 1 repository listed
  In this work, we introduce OMG-Fuser, a fusion transformer-based network designed to extract information from various forensic signals to enable robust image forgery detection and localization.
• MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
  4 Dec 2023 1 repository listed
  Recent image manipulation localization and detection techniques typically leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM or Bayar convolution.
• Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
  18 Aug 2023 1 repository listed
  However, the definition of forged and pristine pixels is only relative within one single image, e.
• Hierarchical Fine-Grained Image Forgery Detection and Localization
  30 Mar 2023 1 repository listed Syntology ran 13 of 18 samples · 5 unverified
  As a result, the algorithm is encouraged to learn both comprehensive features and inherent hierarchical nature of different forgery attributes, thereby improving the IFDL representation.
• Comprint: Image Forgery Detection and Localization using Compression Fingerprints
  5 Oct 2022 1 repository listed
  In an attempt to fight fake news, forgery detection and localization methods were designed.
• Robust Image Forgery Detection Over Online Social Network Shared Images
  1 Jan 2022 1 repository listed
  To fight against the OSN-shared forgeries, in this work, a novel robust training scheme is proposed.
• Analysing Statistical methods for Automatic Detection of Image Forgery
  24 Nov 2021 1 repository listed
  Image manipulation and forgery detection have been a topic of research for more than a decade now.
• FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
  5 Jul 2021 1 repository listed
  The internet is filled with fake face images and videos synthesized by deep generative models.
• Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images
  28 Oct 2020 1 repository listed
  Recently, falsified images have been found in papers involved in research misconducts.
• Fake face detection via adaptive manipulation traces extraction network
  11 May 2020 1 repository listed
  Thus, we propose an adaptive manipulation traces extraction network (AMTEN), which serves as pre-processing to suppress image content and highlight manipulation traces.
• A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection
  15 Sep 2019 1 repository listed
  Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.
• Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
  13 Feb 2018 1 repository listed
  Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.
• Boundary-based Image Forgery Detection by Fast Shallow CNN
  20 Jan 2018 1 repository listed
  In this paper, we substantiate that Fast SCNN can detect drastic change of chroma and saturation.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.