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The recent advances of AI technology, particularly in AI-Generated Content(AIGC), have enabled everyone to easily generate beautiful paintings withsimple text description. With the stunning quality of AI paintings, it iswidely questioned whether there still exists difference between human and AIpaintings and whether human artists will be replaced by AI. To answer thesequestions, we develop a computational framework combining neural latent spaceand aesthetics features with visual analytics to investigate the differencebetween human and AI paintings. First, with categorical comparison of human andAI painting collections, we find that AI artworks show distributionaldifference from human artworks in both latent space and some aesthetic featureslike strokes and sharpness, while in other aesthetic features like color andcomposition there is less difference. Second, with individual artist analysisof Picasso, we show human artists' strength in evolving new styles compared toAI. Our findings provide concrete evidence for the existing discrepanciesbetween human and AI paintings and further suggest improvements of AI art withmore consideration of aesthetics and human artists' involvement.

Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting