Image Manipulation Localization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

6 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

16 shown of 16 papers with code (31 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.

• ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
  1 Jun 2019 3 repositories listed
  To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net.
• MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
  16 Dec 2021 2 repositories listed
  As both clues are meant to be semantic-agnostic, the learned features are thus generalizable.
• Image Manipulation Detection by Multi-View Multi-Scale Supervision
  14 Apr 2021 2 repositories listed Syntology ran 9 of 13 samples · 4 unverified · 13 pointer-only (licence)
  The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images.
• ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
  16 May 2025 1 repository listed
  The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection (Deepfake), image manipulation detection and localization (IMDL), artificial…
• Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer
  19 Dec 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Non-semantic features are context-irrelevant and manipulation-sensitive.
• Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization
  18 Dec 2024 1 repository listed
  Inspired by this, our paper explores how to simultaneously construct mesoscopic representations of micro and macro information for IML and introduces the Mesorch architecture to orchestrate both.
• 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.
• IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
  15 Jun 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  A comprehensive benchmark is yet to be established in the Image Manipulation Detection & Localization (IMDL) field.
• Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods
  1 Jan 2024 1 repository listed
  We further propose a novel metric termed as QES to assist in filtering out unreliable annotations.
• 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.
• Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning
  26 Sep 2023 1 repository listed
  We argue that contrastive learning is more suitable to tackle the data insufficiency problem for IML.
• IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
  27 Jul 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We term this simple but effective ViT paradigm IML-ViT, which has significant potential to become a new benchmark for IML.
• CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
  9 Mar 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary modality (X-modality).
• Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
  30 Aug 2021 1 repository listed
  It significantly outperforms traditional and deep neural network-based methods in detecting and localizing tampered regions.
• PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
  19 Mar 2021 1 repository listed
  To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and localize image manipulations.
• SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
  1 Aug 2020 1 repository listed
  Tehchniques for manipulating images are advancing rapidly; while these are helpful for many useful tasks, they also pose a threat to society with their ability to create believable misinformation.

Syntology lines on 5 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.