Fake Image Detection

Description from the archive archive 2025-07-28.

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

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (37 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.

• FaceForensics++: Learning to Detect Manipulated Facial Images
  25 Jan 2019 14 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 4 pointer-only (licence)
  In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.
• MesoNet: a Compact Facial Video Forgery Detection Network
  4 Sep 2018 8 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.
• Video Face Manipulation Detection Through Ensemble of CNNs
  16 Apr 2020 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.
• 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.
• Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
  2 Apr 2023 2 repositories listed
  Recent advancements in diffusion models have enabled the generation of realistic deepfakes from textual prompts in natural language.
• 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…
• Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
  11 Feb 2025 1 repository listed
  Additionally, unlike detectors that associate artifacts with real images, those that focus purely on fake artifacts are better at detecting inpainted real images.
• Detecting AutoEncoder is Enough to Catch LDM Generated Images
  10 Nov 2024 1 repository listed
  This paper proposes a novel method for detecting images generated by Latent Diffusion Models (LDM) by identifying artifacts introduced by their autoencoders.
• On the Effectiveness of Dataset Alignment for Fake Image Detection
  15 Oct 2024 1 repository listed
  In this work, we argue that in addition to these algorithmic choices, we also require a well aligned dataset of real/fake images to train a robust detector.
• FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
  22 Aug 2024 1 repository listed
  Leveraging the benefits of zero-shot learning, FIDAVL exploits the complementarity between vision and language along with soft prompt-tuning strategy to detect fake images and accurately attribute them to their…
• FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
  20 Apr 2024 1 repository listed
  Meanwhile, large multimodal models (LMMs) have exhibited immense visual-text capabilities on various tasks, bringing the potential for explainable fake image detection.
• Detecting Origin Attribution for Text-to-Image Diffusion Models
  28 Mar 2024 1 repository listed
  Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity.
• Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
  13 Mar 2024 1 repository listed
  Creating high-quality and realistic images is now possible thanks to the impressive advancements in image generation.
• Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
  1 Jan 2023 1 repository listed
  The key of fake image detection is to develop a generalized representation to describe the artifacts produced by generation models.
• FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
  13 Jun 2020 1 repository listed
  At this moment, GAN-based image generation methods are still imperfect, whose upsampling design has limitations in leaving some certain artifact patterns in the synthesized image.
• Global Texture Enhancement for Fake Face Detection in the Wild
  1 Feb 2020 1 repository listed
  In this paper, we conduct an empirical study on fake/real faces, and have two important observations: firstly, the texture of fake faces is substantially different from real ones; secondly, global texture statistics are…
• Learning to Detect Fake Face Images in the Wild
  24 Sep 2018 1 repository listed
  Although Generative Adversarial Network (GAN) can be used to generate the realistic image, improper use of these technologies brings hidden concerns.

Syntology lines on 3 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.