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Stylized neural painting with dynamic stroke allocation

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成果类型:
期刊论文
作者:
Qin, Yuan;Liang, Xiaoman;Sun, Yaqi;Lin, Mugang;Zhang, Fachao;...
通讯作者:
Liang, XM
作者机构:
[Zhang, Fachao; Liu, Tongzhe; Qin, Yuan; Liang, Xiaoman; Long, Bofeng; Liang, XM; Sun, Yaqi; Lin, Mugang] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
[Liang, Xiaoman; Liang, XM; Sun, Yaqi; Lin, Mugang] Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang, Peoples R China.
通讯机构:
[Liang, XM ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang, Peoples R China.
语种:
英文
关键词:
Image quality;Artificial intelligence;Image processing;Evolutionary algorithms;Visualization;Image analysis;Network architectures;Image segmentation;Image transmission;Mathematical optimization
期刊:
Journal of Electronic Imaging
ISSN:
1017-9909
年:
2024
卷:
33
期:
2
基金类别:
National Natural Science Foundation of China; Hunan Provincial Natural Science Foundation of China [2022JJ50016, 2023JJ50095]; Double First-Class University Project of Hunan Province (Xiangjiaotong) [[2018]469]; Science and Technology Innovation Program of Hunan Province [2016TP1020]; Scientific Research Fund of Hunan Provincial Education Department [HNJG-20230883]; [61772179]
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
In traditional stroke-based image-to-painting techniques, strokes are often repeated in already drawn areas, resulting in ineffective rendering, low utilization of strokes, and low image quality. This paper presents an approach for image-to-painting that dynamically assigns strokes based on the intrinsic characteristics of different regions in the target image. The proposed method uses an estimation technique to determine the amount of information in different image regions to generate a sequence of content richness. The number of strokes is then dynamically assigned based on the sequence of c...

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