Fake Generated Painting Detection via Frequency Analysis [article]

Yong Bai, Yuanfang Guo, Jinjie Wei, Lin Lu, Rui Wang, Yunhong Wang
2020 arXiv   pre-print
With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms.To detect the fake generated paintings, we analyze the fake generated and real paintings in Fourier frequency domain and observe statistical differences and artifacts. Based on our observations, we propose Fake Generated Painting Detection via Frequency Analysis (FGPD-FA) by extracting three types of features in frequency domain. Besides, we also propose a digital fake
more » ... ing detection database for assessing the proposed method. Experimental results demonstrate the excellence of the proposed method in different testing conditions.
arXiv:2003.02467v2 fatcat:f2ekxqjrkzexpnzlzajtdw2toy