Text-Guided Graphic Design Variants with Brand Consistency
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Solution Overview
Problem
Existing graphic design systems fail to generate full designs based on input text, lack consistency with user's previous designs, and require users to manually match design elements, which can be tedious and overwhelming for inexperienced creators.
Innovation Solution
A system that automatically generates graphic designs by processing input text to identify phrases and retrieve images, embedding them into a common space for semantic coherence, and selecting compatible design templates, incorporating elements like logos, fonts, and color palettes from prior designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If template-based design systems are used, then design generation is simplified, but design consistency with prior works and brand guidelines is lost
Solution Approach 1:
The system extracts design elements (logos, color palettes, fonts) from prior designs and uses this feedback to generate new designs that maintain consistency with previous works and brand guidelines, resolving the contradiction between simplicity and consistency
Solution Approach 2:
The system performs preliminary extraction of design elements from prior designs before generating new designs, ensuring that brand consistency is established in advance while maintaining ease of use through automated processes
2Adaptability or versatility
If manual design creation is performed, then design customization is possible, but the process becomes tedious and overwhelming
Solution Approach 1:
The system automatically performs design generation by extracting elements from prior designs and assembling them according to brand guidelines, enabling the system to serve itself rather than requiring manual intervention, thus reducing time while maintaining customization
Solution Approach 2:
The system segments the design creation process into distinct steps: extracting design elements, generating text variations, selecting images, and assembling designs, which automates the manual process and reduces time while maintaining adaptability
3Manufacturing precision
If design elements are manually selected, then design precision is controlled, but the complexity of the design process increases
Solution Approach 1:
The system replaces manual mechanical selection of design elements with automated computational processes that extract and select elements based on brand guidelines and prior designs, maintaining precision while reducing process complexity through automation
Data Source
AI summary
Systems and methods for automatically generating graphic design documents are described. Embodiments include identifying an input text that includes a plurality of phrases; obtaining one or more images based on the input text; encoding an image of the one or more images in a vector space using a multimodal encoder to obtain a vector image representation; encoding a phrase from the plurality of phrases in the vector space using the multimodal encoder to obtain a vector text representation; selecting an image text combination including the image and the phrase by comparing the vector image representation and the vector text representation; selecting a design template from a plurality of candidate design templates based on the image text combination; and generating a document based on the design template, wherein the document includes the at least one image and the at least one phrase.