International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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Detection Of AI Genereted Images From Various Generetors

Author(s) Mr. Haresh G, Mr. Kalaiselvam M, Mr. Dhayanidhi K, Mr. Kamalesh M, Saranya M
Country India
Abstract The fast pace of development in the field of artificial intelligence has made it possible for modern generative models to generate highly realistic images, which are very hard to distinguish from real-world photographs. Although these developments have many useful applications, they also pose a serious threat in terms of misinformation, manipulated media, identity manipulation, and digital forgery. Therefore, the detection of AI-generated images has become a very important issue in the field of digital forensics. In this paper, we propose a feature-level gated expert convolutional neural network for the detection of AI-generated images. The proposed system uses multiple lightweight convolutional neural network experts to learn complementary feature representations of input images. The proposed system uses a gating network to assign dynamic importance weights to each expert and combines the learned features at the feature level instead of the output level. This allows adaptive expert selection based on the characteristics of the input images. The proposed system is implemented in PyTorch and is implemented using a Streamlit-based interface. The proposed approach improves robustness and usability with limited hardware resources.
Keywords AI-generated images, Deepfake detection, Gated expert CNN, Feature fusion, Image forensics, Convolutional neural networks
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-27
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.72491
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E-ISSN 2582-2160
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