基于范例的经验转移

Paridhi Maheshwari, Nitish Bansal, Surya Dwivedi, Rohan Kumar, Pranav Maneriker, Balaji Vasan Srinivasan
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引用次数: 8

摘要

横幅以多种形式出现,一个人可能会受到其中一种或多种形式的启发。然而,设计横幅是一项不平凡的任务,特别是对于新手。从一个空白的画布开始通常是压倒性的,探索替代方案是耗时的。在本文中,我们提出了一种自动将新手用户的内容转换为示例横幅的方法。我们的算法首先通过语义分割方法提取示例横幅的模板。其次是基于能量的优化框架,将多个设计元素组合在一起,达到最佳布局。一个将我们的自动结果与创意专业人士设计的横幅进行比较的众包实验表明了提议工作的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exemplar based experience transfer
Banners are present in several forms and a person might be inspired by one or more of these. However, designing banners is a non-trivial task, especially for novices. Starting from a blank canvas can often be overwhelming, and exploring alternatives is time-consuming. In this paper, we propose an automatic approach to transfer a novice user's content into an example banner. Our algorithm begins with extracting the template of the example banner via a semantic segmentation approach. This is followed by an energy-based optimization framework to combine multiple design elements and arrive at an optimal layout. A crowd-sourced experiment comparing our automatic results against banners designed by creative professionals indicates the viability of the proposed work.
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