{"title":"地铁重新说明:使用神经网络的风格化绘画增量生成","authors":"Bo Shui, Chufan Shi, Xiaomei Nie","doi":"10.1145/3588028.3603658","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":113397,"journal":{"name":"ACM SIGGRAPH 2023 Posters","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metro Re-illustrated: Incremental Generation of Stylized Paintings Using Neural Networks\",\"authors\":\"Bo Shui, Chufan Shi, Xiaomei Nie\",\"doi\":\"10.1145/3588028.3603658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":113397,\"journal\":{\"name\":\"ACM SIGGRAPH 2023 Posters\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2023 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3588028.3603658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2023 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3588028.3603658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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。
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.