, but now a student at Princeton University has shown that it can also create Chinese landscape paintings that are good enough to fool human evaluators – sometimes.
Xue graduated earlier this year, but the research was just made public in November when published on the online scientific paper repository arXiv. It was first reported in the AI industry publicationThe AI algorithm produced the artwork using a machine learning framework model called Generative Adversarial Networks . GANs have previously been used for turning photographs into paintings and creating other types of art, some of which have even been sold at auction.
Xue’s research was also original in its choice of artwork. “Most GAN research focuses on Western art,” Xue wrote in the paper. She said this is why she chose to focus on Chinese landscape paintings, which are “just as aesthetically meaningful as Western art”. Xue said her algorithm is also unique in its ability to create artwork from beginning to end. The traditional GAN-based method of creating artwork tends to produce unoriginal artwork, according to Xue, because it relies on inputs like pre-prepared sketches.
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