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Is There a “Late Style” of Art?
Art Therapy, 1992A great deal has been written about the artistic development of the maturing child; however, research in artistic development ends abruptly with adolescence.
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How to Generate Synthetic Paintings to Improve Art Style Classification
Brazilian Conference on Intelligent Systems, 2021Sarah Pires Pérez +1 more
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Softcomputing Art Style Identification System
2019The paper discuss the possibility to use the softcomputing methods to create effective and useful system for art style identification. The system should operate on the samples of paintings. The assumption is to use only the small parts of pictures with no high resolution.
Jacek Mazurkiewicz, Aleksandra Cybulska
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InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
arXiv.orgStyle transfer is an inventive process designed to create an image that maintains the essence of the original while embracing the visual style of another.
Haofan Wang +5 more
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Automating Evolutionary Art in the Style of Mondrian
2004Many recent systems for computer artwork generation with evolutionary algorithms have been interactive, relegating the task of evaluating new genotypes to their users. In contrast, we are interested in fully automating the entire evolutionary cycle applied to art work generation.
Andrés Gómez de Silva Garza +1 more
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Z*: Zero-shot Style Transfer via Attention Reweighting
Computer Vision and Pattern RecognitionDespite the remarkable progress in image style transfer, formulating style in the context of art is inherently subjective and challenging. In contrast to existing methods, this study shows that vanilla diffusion models can directly extract style ...
Yingying Deng +3 more
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The use of deep learning and artificial intelligence-based digital technologies in art education
Scientific ReportsIn order to explore the application of deep learning (DL) and artificial intelligence (AI) technologies in art education, this work proposes and optimizes an innovative art creation system—Creative Intelligence Cloud (CIC).
Yali Liu, Can Zhu
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DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond
IEEE Transactions on Visualization and Computer GraphicsText-to-image generation models have significantly broadened the horizons of creative expression through the power of natural language. However, navigating these models to generate unique concepts, alter their appearance, or reimagine them in unfamiliar ...
Chenshu Xu +4 more
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Structure-aware Video Style Transfer with Map Art
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Thi-Ngoc-Hanh Le +2 more
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