Abstract | ||
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There are many great works done in image generation. However, it is still an open problem how to generate a painting, which is meeting the aesthetic rules in specific style. Therefore, in this paper, we propose a demonstration to generate a specific painting based on users' input. In the system called AI Painting, we generate an original image from content text, transfer the image into a specific aesthetic effect, simulate the image into specific artistic genre, and illustrate the painting process.
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Year | DOI | Venue |
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2018 | 10.1145/3240508.3241386 | MM '18: ACM Multimedia Conference
Seoul
Republic of Korea
October, 2018 |
Keywords | Field | DocType |
Painting Content Generation, Aesthetic Effect Modification, Artistic Effect Simulation, Painting Process Illustration | Image generation,Engineering drawing,Open problem,Computer science,Painting,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-5665-7 | 0 | 0.34 |
References | Authors | |
7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cunjun Zhang | 1 | 0 | 0.34 |
Kehua Lei | 2 | 0 | 0.34 |
Jia Jia | 3 | 451 | 55.08 |
Yihui Ma | 4 | 8 | 1.82 |
Zhiyuan Hu | 5 | 33 | 12.91 |