Multimodal Content Generation Using Text, Image, and Layout Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques face difficulties in automatically generating content such as catchphrases, product descriptions, product images, advertisements, flyers, posters, and artworks based on multiple elements.
Innovation Solution
An information processing apparatus and method that utilizes a controller to acquire input information, generate content using a first and second element different from the first element, and output the content through an output device, incorporating large-scale language and image generation models to create advertisements and artworks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional techniques are used for content generation, then the process is simple, but it is difficult to acquire content based on multiple different elements
Solution Approach 1:
The patent combines multiple separate models (language model for text generation, image generation model for visual content, and layout model for arrangement) into an integrated content generation system. This merging enables the system to handle multiple elements (text, images, layouts) simultaneously and generate comprehensive content based on diverse input information, directly addressing the limitation of conventional techniques that could not effectively process multiple different elements.
2Productivity
If automated content generation is implemented, then productivity increases, but the ability to handle multiple different elements deteriorates
Solution Approach 1:
The patent segments the content generation process into distinct functional modules: a language model segment for text generation, an image generation model segment for visual content creation, and a layout model segment for arranging elements. Each segment specializes in handling specific types of elements, enabling the automated system to efficiently process multiple different elements simultaneously while maintaining high productivity through specialized optimization of each module.
3Manufacturing precision
If multiple models are integrated for content generation, then content quality improves, but processing time increases
Solution Approach 1:
The patent implements preliminary action by having the layout model generate the arrangement structure before the image generation model creates visual content, and by using the language model to prepare text elements in advance. This sequential preliminary processing of different elements (text first, then layout, then images) allows each model to work efficiently on its specialized task without redundant processing, improving overall content quality while managing processing time through optimized execution sequencing.
Data Source
AI summary
An information processing apparatus includes an acquisition device that acquires input information, and an output device that generates content using a first element and a second element different from the first element, from the input information such that the content is acquired based on different elements.