• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

EvoDesigner:演变中的海报布局

EvoDesigner: Evolving Poster Layouts.

作者信息

Lopes Daniel, Correia João, Machado Penousal

机构信息

Department of Informatics Engineering, Centre for Informatics and Systems of the University of Coimbra, University of Coimbra, 3004-531 Coimbra, Portugal.

Intelligent Systems Associate LAboratory (LASI), University of Minho, 4800-058 Guimarães, Portugal.

出版信息

Entropy (Basel). 2022 Nov 30;24(12):1751. doi: 10.3390/e24121751.

DOI:10.3390/e24121751
PMID:36554156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9778639/
Abstract

Frequently, one of the goals of Graphic Design (gd) is discovering disruptive visual solutions that stand out and attract people's attention. However, due to the increasing democratisation of gd, graphic designers tend to adopt design trends, leading to designs that many times lack innovative and catchy features. is an evolutionary extension for that aims to aid gd processes by automatically evolving layout and style variations of given pages. The generated pages might be previously created and post-edited by designers, promoting co-creation. As an extension of the study , this article begins with a general introduction of . Then, we review previous experiments on evolving pages towards the page balance of existing target posters. Furthermore, we present new experiments exploring the benefits of using grid systems to position and scale page items along with a user survey made to gather feedback about the impact of grid systems in the generated pages and showcase examples of artefacts created from the collaboration between designers and the system. The findings indicate that the presented techniques can be used to interpret current layouts in different manners, and suggest that grid systems may be a useful tool for promoting the automatic production of layouts with better organisation when compared to applying no organisational constraints. However, a conducted user survey indicates that, depending on the goals of the designers, more organised layouts might not always be synonymous with better results.

摘要

通常,平面设计(gd)的目标之一是发现具有颠覆性的视觉解决方案,使其脱颖而出并吸引人们的注意力。然而,由于平面设计的日益普及,平面设计师往往采用设计潮流,导致许多设计缺乏创新和吸引人的特点。是 的一种进化扩展,旨在通过自动演化给定页面的布局和样式变体来辅助平面设计流程。生成的页面可能是设计师之前创建并进行后期编辑的,从而促进共同创作。作为该研究的延伸,本文首先对进行了总体介绍。然后,我们回顾了之前关于朝着现有目标海报的页面平衡演化页面的实验。此外,我们展示了新的实验,探讨使用网格系统来定位和缩放页面元素的好处,同时进行了一项用户调查,以收集关于网格系统对生成页面影响的反馈,并展示设计师与系统协作产生的人工制品示例。研究结果表明,所提出的技术可用于以不同方式解释当前布局,并表明与不应用组织约束相比,网格系统可能是促进自动生成具有更好组织性布局的有用工具。然而,一项进行的用户调查表明,根据设计师的目标,更具组织性的布局并不总是等同于更好的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/00f8260a8569/entropy-24-01751-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/610ceaa309e6/entropy-24-01751-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/bd7e79526fce/entropy-24-01751-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/82773743c3a2/entropy-24-01751-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/3439ad3b06fd/entropy-24-01751-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/6f222492cc2e/entropy-24-01751-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/7522fe19cf11/entropy-24-01751-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/4e1c8e2d6a19/entropy-24-01751-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/c4fe249ed1f5/entropy-24-01751-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/d83f1a39dd31/entropy-24-01751-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/2909902a1a06/entropy-24-01751-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/fd3bde1834d4/entropy-24-01751-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/fe75576b491b/entropy-24-01751-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/00f8260a8569/entropy-24-01751-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/610ceaa309e6/entropy-24-01751-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/bd7e79526fce/entropy-24-01751-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/82773743c3a2/entropy-24-01751-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/3439ad3b06fd/entropy-24-01751-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/6f222492cc2e/entropy-24-01751-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/7522fe19cf11/entropy-24-01751-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/4e1c8e2d6a19/entropy-24-01751-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/c4fe249ed1f5/entropy-24-01751-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/d83f1a39dd31/entropy-24-01751-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/2909902a1a06/entropy-24-01751-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/fd3bde1834d4/entropy-24-01751-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/fe75576b491b/entropy-24-01751-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e56c/9778639/00f8260a8569/entropy-24-01751-g013.jpg

相似文献

1
EvoDesigner: Evolving Poster Layouts.EvoDesigner:演变中的海报布局
Entropy (Basel). 2022 Nov 30;24(12):1751. doi: 10.3390/e24121751.
2
Learning Layouts for Single-Page Graphic Designs.单页平面设计的布局学习
IEEE Trans Vis Comput Graph. 2014 Aug;20(8):1200-13. doi: 10.1109/TVCG.2014.48.
3
Attribute-Conditioned Layout GAN for Automatic Graphic Design.用于自动平面设计的属性条件布局生成对抗网络
IEEE Trans Vis Comput Graph. 2021 Oct;27(10):4039-4048. doi: 10.1109/TVCG.2020.2999335. Epub 2021 Sep 1.
4
Global Beautification of 2D and 3D Layouts With Interactive Ambiguity Resolution.通过交互式歧义消解实现二维和三维布局的全局美化
IEEE Trans Vis Comput Graph. 2021 Apr;27(4):2355-2368. doi: 10.1109/TVCG.2019.2954321. Epub 2021 Feb 26.
5
A comparison of user-generated and automatic graph layouts.用户生成和自动图形布局的比较。
IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):961-8. doi: 10.1109/TVCG.2009.109.
6
The application of graphic language personalized emotion in graphic design.图形语言个性化情感在平面设计中的应用。
Heliyon. 2024 Apr 26;10(9):e30180. doi: 10.1016/j.heliyon.2024.e30180. eCollection 2024 May 15.
7
LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks.
IEEE Trans Pattern Anal Mach Intell. 2021 Jul;43(7):2388-2399. doi: 10.1109/TPAMI.2019.2963663. Epub 2021 Jun 8.
8
An efficient grid layout algorithm for biological networks utilizing various biological attributes.一种利用各种生物学属性的生物网络高效网格布局算法。
BMC Bioinformatics. 2007 Mar 6;8:76. doi: 10.1186/1471-2105-8-76.
9
Fast grid layout algorithm for biological networks with sweep calculation.基于扫描计算的生物网络快速网格布局算法
Bioinformatics. 2008 Jun 15;24(12):1433-41. doi: 10.1093/bioinformatics/btn196. Epub 2008 Apr 18.
10
Design Order Guided Visual Note Layout Optimization.设计顺序引导的视觉笔记布局优化。
IEEE Trans Vis Comput Graph. 2023 Sep;29(9):3922-3936. doi: 10.1109/TVCG.2022.3171839. Epub 2023 Aug 1.