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May, 2024
神经路径表示下的文本向量生成
Text-to-Vector Generation with Neural Path Representation
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Peiying Zhang, Nanxuan Zhao, Jing Liao
TL;DR
通过设计双分支变分自编码器(VAE) 的神经路径表示,我们提出了一种新颖的神经路径表示,从序列和图像模态中学习路径潜在空间,通过优化神经路径的组合,我们可以在生成的SVG中融入几何约束的同时保持表达力。此外,我们引入了一种两阶段路径优化方法,用于改进生成的SVG的视觉和拓扑质量。
Abstract
vector graphics
are widely used in digital art and highly favored by designers due to their scalability and layer-wise properties. However, the process of creating and editing
vector graphics
requires creativity
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