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Status已发表Published
TitleGeneration of miro's surrealism
Creator
Date Issued2016
Source PublicationACM International Conference Proceeding Series
ISSN0
Volume0Issue:0Pages:130-137
AbstractIn 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. © 2016 ACM.
KeywordGenerative art Joan Miro Process modeling Surrealistic paintings
DOI10.1145/2968220.2968232
URLView source
Language英语English
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/3002
CollectionResearch outside affiliated institution
Recommended Citation
GB/T 7714
Lu X., Kang Z. Generation of miro's surrealism[J]. ACM International Conference Proceeding Series, 2016, 0(0): 130-137.
APA Lu X., Kang Z. (2016). Generation of miro's surrealism. ACM International Conference Proceeding Series, 0(0), 130-137.
MLA Lu X., Kang Z.."Generation of miro's surrealism". ACM International Conference Proceeding Series 0.0(2016): 130-137.
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