  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 painting detection database for
assessing the proposed method. Experimental results demonstrate the excellence
of the proposed method in different testing conditions.
