research-article

Generation of Miro's Surrealism

Authors:

Kang ZhangAuthors Info & Claims

VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction

Pages 130 - 137

https://doi.org/10.1145/2968220.2968232

Published: 24 September 2016 Publication History

Abstract

In this paper, we present a programmed experiment and the results on automatic generation of Joan Miro style of surrealism. Combining the artist's aesthetic theory with the authors' own understanding, the paper analyzes the characteristics of Miro's work and proposes a process modeling approach that consists of four steps: structured drawing, adaptive coloring, space filling and noise injection. The generation process is described in details and sample generated images styled on Miro's paintings are also demonstrated and discussed. By extracting and coding pictorial elements in paintings of Miro, different styled images could be generated under different sets of parameters.

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Cited By

Hong SEades PTorkel M(2021)GDot: Drawing Graphs with Dots and Circles2021 IEEE 14th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis52677.2021.00029(156-165)Online publication date: Apr-2021
https://doi.org/10.1109/PacificVis52677.2021.00029
Zhang JMiao YYu J(2021)A Comprehensive Survey on Computational Aesthetic Evaluation of Visual Art Images: Metrics and ChallengesIEEE Access10.1109/ACCESS.2021.30830759(77164-77187)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3083075
Li MLv JTang CWang JLai ZHuang Y(2021)Combination of certainty and uncertainty: Using FusionGAN to create abstract paintingsNeural Networks10.1016/j.neunet.2021.09.001144(443-454)Online publication date: Dec-2021
https://doi.org/10.1016/j.neunet.2021.09.001
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Generation of Miro's Surrealism
1. Applied computing
  1. Arts and humanities

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cover image ACM Other conferences

VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction

September 2016

173 pages

ISBN:9781450341493

DOI:10.1145/2968220

General Chair:
Kang Zhang,
Program Chair:
Andreas Kerren

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 September 2016

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VINCI '16

VINCI '16: The 9th International Symposium on Visual Information Communication and Interaction

September 24 - 26, 2016

TX, Dallas, USA

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VINCI '16 Paper Acceptance Rate 14 of 42 submissions, 33%;

Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Hong SEades PTorkel M(2021)GDot: Drawing Graphs with Dots and Circles2021 IEEE 14th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis52677.2021.00029(156-165)Online publication date: Apr-2021
https://doi.org/10.1109/PacificVis52677.2021.00029
Zhang JMiao YYu J(2021)A Comprehensive Survey on Computational Aesthetic Evaluation of Visual Art Images: Metrics and ChallengesIEEE Access10.1109/ACCESS.2021.30830759(77164-77187)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3083075
Li MLv JTang CWang JLai ZHuang Y(2021)Combination of certainty and uncertainty: Using FusionGAN to create abstract paintingsNeural Networks10.1016/j.neunet.2021.09.001144(443-454)Online publication date: Dec-2021
https://doi.org/10.1016/j.neunet.2021.09.001
Ferraiolo A(2020)Fictional Characters as Adaptive Systems: The Malaspina and de Graaf Gardens10.14236/ewic/EVA2020.57Online publication date: Jul-2020
https://doi.org/10.14236/ewic/EVA2020.57
Zhang KYu J(2020)The Computer-Based Generation of Fonts in the Style of KandinskyLeonardo10.1162/leon_a_01888(1-11)Online publication date: 13-Feb-2020
https://doi.org/10.1162/leon_a_01888
Li MLv JWang JSang Y(2019)An Abstract Painting Generation Method Based on Deep Generative ModelNeural Processing Letters10.1007/s11063-019-10063-3Online publication date: 15-Jun-2019
https://doi.org/10.1007/s11063-019-10063-3
Bo YYu JZhang K(2018)Computational aesthetics and applicationsVisual Computing for Industry, Biomedicine, and Art10.1186/s42492-018-0006-11:1Online publication date: 5-Sep-2018
https://doi.org/10.1186/s42492-018-0006-1
Li MLv JLi XYin J(2017)Computer-Generated Abstract Paintings Oriented by the Color Composition of ImagesInformation10.3390/info80200688:2(68)Online publication date: 20-Jun-2017
https://doi.org/10.3390/info8020068
Zhang KBo YYang YBiuk-Aghai RLi JTakahashi S(2017)Towards a design generation methodologyProceedings of the 10th International Symposium on Visual Information Communication and Interaction10.1145/3105971.3108444(71-72)Online publication date: 14-Aug-2017
https://dl.acm.org/doi/10.1145/3105971.3108444
Zhang JZhang KPeng RYu JBiuk-Aghai RLi JTakahashi S(2017)Computer-aided generation of mandala thangka patternsProceedings of the 10th International Symposium on Visual Information Communication and Interaction10.1145/3105971.3105974(93-100)Online publication date: 14-Aug-2017
https://dl.acm.org/doi/10.1145/3105971.3105974
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