GAN image forensics

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (8 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.

• 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.
• Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
  17 Jan 2022 1 repository listed
  Even though Generative Adversarial Networks (GANs) have shown a remarkable ability to generate high-quality images, GANs do not always guarantee the generation of photorealistic images.
• CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
  21 Aug 2020 1 repository listed
  In essence, CDE-GAN incorporates dual evolution with respect to the generator(s) and discriminators into a unified evolutionary adversarial framework to conduct effective adversarial multi-objective optimization.
• On the use of Benford's law to detect GAN-generated images
  16 Apr 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery.
• Detecting and Simulating Artifacts in GAN Fake Images
  15 Jul 2019 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  By using the simulated images to train a spectrum based classifier, even without seeing the fake images produced by the targeted GAN model during training, our approach achieves state-of-the-art performances on…
• 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.