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Comparative analysis of text readability and writing styles in AI-generated vs. Human-written academic abstracts. [PDF]
Zou Y, Kuek F, Ng KH, Cheng X.
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Apples and oranges? The importance of recognizing heterogeneity in arts and health research publications. [PDF]
Jensen A, Bungay H, Holt NJ.
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Visual Bilingualism and Mission Art : A Reconsideration of "Early Western-Style Painting" in Japan
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Computer analysis for visual art style
SIGGRAPH Asia 2013 Technical Briefs, 2013In recent years, scholars pay more and more attention to the understanding and analysis of visual art style. This paper is based on Sparse Coding on visual art works, which brings out the trained basis function reflecting the style characteristics of a painting. Next, Gabor energy is extracted in Gabor domain from the trained basis function. Van Gogh's
Yuqing Liu, Yuanyuan Pu, Dan Xu
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Recognizing the Style of Visual Arts via Adaptive Cross-layer Correlation
Proceedings of the 27th ACM International Conference on Multimedia, 2019Visual arts consist of various art forms, \eg painting, sculpture, architecture,~\etc, which not only enrich our lives but also involve works related to aesthetics, history, and culture. Different eras have different artistic appeals, and the art also has characteristics of each era in terms of expression and spiritual pursuit, in which style is an ...
Liyi Chen, Jufeng Yang
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Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
Proceedings of the AAAI Conference on Artificial Intelligence, 2022We present a machine learning system that can quantify fine art paintings with a set of visual elements and principles of art. The formal analysis is fundamental for understanding art, but developing such a system is challenging. Paintings have high visual complexities, but it is also difficult to collect enough training data with direct labels.
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Commodifying art, Chinese style: The making of China’s visual art market
Environment and Planning A: Economy and Space, 2017The economic value of art to cities and regions has recently been vigorously pursued and actively studied. The rapid ascendance of China as a superpower in the global art market and associated transformation of China’s art space, however, are yet poorly understood.
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