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Aesthetic art simulation for embroidery style

Multimedia Tools and Applications, 2018
Different image styles play a significant role in the human vision. Image rendering methods with non-photorealistic rendering based can simulate different illustrations and increase its aesthetic appeal. Despite many kinds of methods have been put forward to obtain various styles, technical subtleties and stylistic potential of the embroidery ...
Wenhua Qian   +4 more
openaire   +1 more source

Finding Principal Semantics of Style in Art

2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018
We investigate a novel mechanism to interpret each coordinate of Deep Neural Network (DNN) activations with concepts aligned with art principles such as light, shape, pattern, line, and textures. After training state-of-the-art DNN architectures as paintings' style classifiers, we collect activations from the second to last layer of DNN and conduct a ...
Diana Kim   +3 more
openaire   +2 more sources

Automating Evolutionary Art in the Style of Mondrian

2004
Many 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
openaire   +2 more sources

Softcomputing Art Style Identification System

2019
The 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
openaire   +2 more sources

Computer analysis for visual art style

SIGGRAPH Asia 2013 Technical Briefs, 2013
In 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 0001
openaire   +1 more source

Styles in Art

Leonardo, 1981
S. I. Clerk   +2 more
openaire   +1 more source

Learning of art style using AI and its evaluation based on psychological experiments

International Journal of Arts and Technology, 2022
Takashi Kusumi   +2 more
exaly  

Structure-aware Video Style Transfer with Map Art

ACM Transactions on Multimedia Computing, Communications and Applications, 2023
Tong-Yee Lee   +2 more
exaly  

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