HIGHLIGHTS
- who: Shulin Liu from the Department of Fine Arts, Science and Technology College Gannan Normal University, Ganzhou, Jiangxi, China have published the research: Research on the Style of Art Works based on Deep Learning, in the Journal: Journal of Advanced Transportation of 11/06/2022
- what: The experiment shows that the improved CycleGAN model is efficient and feasible for style transfer. In this paper, 300 natural landscape pictures and 360 Chinese ink paintings are taken from the Internet by crawler technology as experimental data sets, and the part of the data is shown in Figure . . .
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