Modular Convolutional Neural Network for Discriminating between Computer-Generated Images and Photographic Images

Author:

Nguyen Huy H.1,Tieu T. Ngoc-Dung1,Nguyen-Son Hoang-Quoc2,Nozick Vincent3,Yamagishi Junichi2,Echizen Isao2

Affiliation:

1. SOKENDAI (The Graduate University for Advanced Studies), Kanagawa, Japan

2. National Institute of Informatics, Tokyo, Japan

3. Japanese-French Laboratory for Informatics (JFLI), Tokyo, Japan

Publisher

ACM

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. An Approach for Copy-Move and Image Splicing Forgery Detection using Automated Deep Learning;2023 International Conference on Emerging Smart Computing and Informatics (ESCI);2023-03-01

3. Computer Graphic and Photographic Images Classification—A Transfer Learning Approach;Lecture Notes in Electrical Engineering;2023

4. Distinguishing Computer-Generated Images from Photographic Images: a Texture-Aware Deep Learning-Based Method;2022 IEEE International Conference on Visual Communications and Image Processing (VCIP);2022-12-13

5. BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics;IEEE Transactions on Circuits and Systems for Video Technology;2022-10

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