Exemplar Based Experience Transfer

Authors

NB

Nitish Bansal

SD

Surya Dwivedi

RK

Rohan Kumar

PM

Pranav Maneriker

BV

Balaji Vasan Srinivasan

Generative AI (Text, Image, Music, Video)Music Composition & Sound Design ToolsGraphic Design & Typography ToolsMusicians, DJs & Sound DesignersProduct DesignersVisual Artists & Designers

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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https://hci.top/en/papers/iui/8034/2019

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Source
IUI
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Year
2019
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Authors
6 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Music Composition & Sound Design Tools, Graphic Design & Typography Tools
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Professions
Musicians, DJs & Sound Designers, Product Designers, Visual Artists & Designers
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Abstract only
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3 related papers