Mr. Takayuki Osakabe Profile

Takayuki Osakabe

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Proceedings Article | 13 March 2021 Paper

CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection

Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, Hitoshi Kiya

Proceedings Volume 11766, 1176609 (2021) https://doi.org/10.1117/12.2590977

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In this paper, we propose a novel CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection. Recent rapid advances in image manipulation tools and deep image synthesis techniques, such as Generative Adversarial Networks (GANs) have easily generated fake images, so detecting manipulated images has become an urgent issue. Most state-of-the-art forgery detection methods assume that images include checkerboard artifacts which are generated by using DNNs. Accordingly, we propose a novel CycleGAN without any checkerboard artifacts for counter-forensics of fake-mage detection methods for the first time, as an example of GANs without checkerboard artifacts.

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