地铁重新说明:使用神经网络的风格化绘画增量生成

Bo Shui, Chufan Shi, Xiaomei Nie
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摘要

Metro Re-illustrated是一个探索使用神经网络增量生成城市地铁地图风格化绘画的项目。它首先是一个交互式系统,用于在城市地铁地图上标记时间序列数据并生成参考图像。这些图像被输入到一个神经画家中,该神经画家在虚拟画布上逐渐生成类似油画的笔触。生成的画作在捕捉城市发展的渐进本质的同时,展示了油画的混合和分层特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metro Re-illustrated: Incremental Generation of Stylized Paintings Using Neural Networks
Metro Re-illustrated is a project that explores incremental generation of stylized paintings of city metro maps using neural networks. It begins with an interactive system for labeling time-series data on city metro maps and generating reference images. These images are fed into a neural painter that incrementally generates oil painting-like strokes on virtual canvases. The generated paintings demonstrate blending and layering features of oil paintings while capturing the progressive nature of urban development.
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