Results 1 to 10 of about 3,735,431 (289)
Deep Ensemble Art Style Recognition [PDF]
2020 International Joint Conference on Neural Networks (IJCNN), 2020 The massive digitization of artworks during the last decades created the need for categorization, analysis, and management of huge amounts of data related to abstract concepts, highlighting a challenging problem in the field of computer science. The rapid progress of artificial intelligence and neural networks has provided tools and technologies that ...
Orfeas Menis-Mastromichalakis +2 more
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Digital Image Art Style Transfer Algorithm Based on CycleGAN. [PDF]
Comput Intell Neurosci, 2022 With the continuous development and popularization of artificial intelligence technology in recent years, the field of deep learning has also developed relatively rapidly.
Fu X.
europepmc +2 more sources
Enhanced automated art curation using supervised modified CNN for art style classification. [PDF]
Sci RepThis study explores the application of a supervised Modified Convolutional Neural Network (CNN) for automated art classification and curation. Traditional art classification methods rely heavily on human expertise, which is time-consuming, subjective ...
Li W.
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Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments [PDF]
International Conference on Evolutionary Computation, 2020 GANs (Generative adversarial networks) is a new AI technology that can perform deep learning with less training data and has the capability of achieving transformation between two image sets. Using GAN we have carried out a comparison between several art
Mai Cong Hung +4 more
semanticscholar +3 more sources
‘Kimberley Stout figures’: a new rock art style for Kimberley rock art, North-Western Australia
Australian Archaeology, 2019 The rock art of Western Australia’s Kimberley region has been the subject of special attention by archaeologists and rock art enthusiasts since George Grey’s publication of the first illustration of it.
R G Gunn +2 more
exaly +2 more sources
Applied Sciences, 2023 Chinese New Year prints constitute a significant component of the country’s cultural heritage and folk art. Yangliuqing New Year prints are the most important and widely circulated of all the different kinds of New Year prints.
Bolun Zhang, Nurul Hanim Romainoor
semanticscholar +2 more sources
Characterization of mineral coatings associated with a Pleistocene-Holocene rock art style: The Northern Running Figures of the East Alligator River region, western Arnhem Land, Australia. [PDF]
Data Brief, 2017 This data article contains mineralogic and chemical data from mineral coatings associated with rock art from the East Alligator River region. The coatings were collected adjacent to a rock art style known as the “Northern Running Figures” for the ...
King PL, Troitzsch U, Jones T.
europepmc +2 more sources
Classification of picture art style based on VGGNET
Journal of Physics, Conference Series, 2021 Aiming at the classification of various painting art styles in modern society, a method based on convolution neural network is proposed. The classification of various painting art styles is completed by using convolutional neural network.
Z. Yang
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Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis [PDF]
International Conference on Multimedia Retrieval, 2023 The duality of content and style is inherent to the nature of art. For humans, these two elements are clearly different: content refers to the objects and concepts in the piece of art, and style to the way it is expressed. This duality poses an important
Yankun Wu, Yuta Nakashima, Noa García
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Design of Painting Art Style Rendering System Based on Convolutional Neural Network
Scientific Programming, 2021 Convolutional Neural Network- (CNN-) based GAN models mainly suffer from problems such as data set limitation and rendering efficiency in the segmentation and rendering of painting art. In order to solve these problems, this paper uses the improved cycle
Xingyu Xie, Bin Lv
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