Browse State-of-the-Art › Synthetic Image Detection
Synthetic Image Detection
20 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Identify if the image is real or generated/manipulated by any generative models (GAN or Diffusion).
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
2 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 (28 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.
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23 Nov 2024 2 repositories listed Syntology ran 3 of 20 samples · 17 unverified · 20 pointer-only (licence)In this paper, we start from a new perspective to excavate the reason behind the failure generalization in AIGI detection, named the \textit{asymmetry phenomenon}, where a naively trained detector tends to favor…
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27 Dec 2023 2 repositories listed Syntology ran 6 of 7 samples · 1 unverifiedIn this paper, we study the problem of generalizable synthetic image detection, aiming to detect forgery images from diverse generative methods, e.
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11 Oct 2022 2 repositories listedCrucially, most work in this domain assume that the Deepfakes in the test set come from the same Deepfake algorithms that were used for training the network.
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7 Jul 2025 1 repository listedThe widespread and rapid adoption of AI-generated content, created by models such as Generative Adversarial Networks (GANs) and Diffusion Models, has revolutionized the digital media landscape by allowing efficient and…
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24 Mar 2025 1 repository listed Syntology ran 7 of 13 samples · 6 unverifiedWith the rapid advancement of generative AI, it is now possible to synthesize high-quality images in a few seconds.
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21 Sep 2024 1 repository listedThe continued release of increasingly realistic image generation models creates a demand for synthetic image detectors.
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Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection13 Sep 2024 1 repository listedAre general-purpose visual representations acquired solely from synthetic data useful for detecting fake images?
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13 Aug 2024 1 repository listed Syntology ran 6 of 9 samples · 3 unverifiedIn this paper, we re-examine the SID problem and identify two prevalent biases in current training paradigms, i.
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29 Jul 2024 1 repository listedHowever, current datasets in the field contain generated images with questionable quality or have examples from one predominant content type which leads to poor generalizability of the underlying detectors.
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22 Jul 2024 1 repository listedGenerative AI technologies produce increasingly realistic imagery, which, despite its potential for creative applications, can also be misused to produce misleading and harmful content.
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16 Jul 2024 1 repository listedIn conclusion, this work demonstrates the inefficiency of state-of-the-art detectors on local manipulations performed by modern generative approaches, and aspires to help with the development of more capable IFL and SID…
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29 Apr 2024 1 repository listedThe generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones.
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12 Apr 2024 1 repository listedTo address these issues, we introduce the Ensemble of Expert Embedders (E3), a novel continual learning framework for updating synthetic image detectors.
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3 Apr 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)This study contributes to the advancement of synthetic image detection by exploiting the capabilities of visual language models such as BLIP-2 and ViTGPT2.
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2 Apr 2024 1 repository listedAdvancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic images.
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29 Feb 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverifiedThe recently developed and publicly available synthetic image generation methods and services make it possible to create extremely realistic imagery on demand, raising great risks for the integrity and safety of online…
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23 May 2023 1 repository listedIn this work, we propose a simple yet very effective synthetic image detection method via a language-guided contrastive learning and a new formulation of the detection problem.
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19 Mar 2023 1 repository listedOur method can detect images from a known generative model and enable us to establish relationships between fine-tuned generative models.
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23 Feb 2023 1 repository listedSynthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security.
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31 Mar 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedOur results prompt re-thinking of using high frequency Fourier spectrum decay attributes for CNN-generated image detection.
Syntology lines on 7 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.
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