Document Decoration Mask Generation for Adaptive AI Layouts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for decorating document elements in documents, such as flyers, posters, and presentations, are time-consuming and require specialized design skills, and existing machine learning methods lack the ability to integrate decorations with target document elements, adapt to different shapes and sizes, and facilitate user-guided customization.
Innovation Solution
A method involving a decoration mask generation based on the document element, using an image generation model to create a decoration image, and combining it with the original document element to generate a visually coherent and appealing design, enhanced by tiling, stylization, and segmentation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual placement of pre-designed shapes, images, or patterns is used to decorate document elements, then design quality can be maintained, but the process becomes time-consuming and requires specialized design skills
Solution Approach 1:
The system enables automatic decoration generation by having the computer vision model independently analyze document elements and generate appropriate decorations without human intervention. The model self-services the decoration task by processing the document element, understanding its context, and producing tailored decorative elements that would traditionally require manual design work
Solution Approach 2:
The patent replaces the mechanical manual design process with an automated computer vision-based system. Instead of requiring human designers to manually place and customize decorative elements, the system uses machine learning models to automatically generate context-appropriate decorations, substituting human creative labor with automated image generation technology
2Adaptability or versatility
If existing machine learning methods are used for generating decorative patterns, then automation is achieved, but the ability to integrate decorations with target document elements and adapt to different shapes and sizes is lacking
Solution Approach 1:
The system applies local quality by generating decorations that are specifically tailored to each document element's unique characteristics. The computer vision model analyzes the specific shape, size, and context of each element and generates decorative patterns that are locally optimized for that element, rather than applying generic decorations uniformly across all elements
Solution Approach 2:
The patent employs preliminary action by first analyzing and understanding the document element's properties before generating the decoration. The system performs preliminary processing to extract relevant features, determine appropriate decoration styles, and prepare the generation parameters in advance, ensuring the final decoration integrates seamlessly with the target element
Data Source
AI summary
A method, apparatus, and non-transitory computer readable medium for image processing include obtaining a document element and an input prompt, wherein the input prompt describes a decoration element for the document element; generating a decoration mask based on the document element, wherein the decoration mask indicates a location for the decoration element; generating a decoration image based on the input prompt and the decoration mask, wherein the decoration image includes the decoration element; and generating a decorated document by combining the document element and the decoration image.