Digital Design Recoloring With Diffusion-Guided Color Transfer
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Solution Overview
Problem
Conventional digital design recoloring systems are inefficient and inflexible, requiring designers to provide specific reference images for color variations, leading to computational inefficiencies and operational restrictions, and often result in alterations to the geometry and structure of the digital design.
Innovation Solution
A design recoloring system that utilizes a text-to-image diffusion model to generate digital images from text prompts, combined with algorithms such as color affine transformation, convex hull projection, and contrast enhancement to efficiently and flexibly recolor digital designs while preserving their geometry and structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional recoloring systems use manual color adjustment tools, then users can control color changes, but the process requires extensive designer interaction and time
Solution Approach 1:
The system automatically performs color transfer from reference image to target design using affine transformation algorithms, eliminating the need for manual designer intervention in the recoloring process while maintaining color control through automated parameter optimization
Solution Approach 2:
The system transforms color parameters mathematically by establishing affine relationships between color spaces of reference images and target designs, automatically adjusting hue, saturation, and brightness parameters without manual intervention
2Measurement precision
If conventional systems require specific reference images for recoloring, then color transfer can be targeted, but the system lacks operational flexibility and requires extensive image dataset parsing
Solution Approach 1:
The system can accept any image with desired color characteristics as a reference and automatically apply its color theme to various types of digital designs (logos, illustrations, photographs), making it universally applicable across different design domains without requiring design-specific reference images
Solution Approach 2:
The system replaces manual searching and selection of reference images with automated text-to-image diffusion generation, where users simply describe the desired color theme in natural language and the system generates appropriate reference images and applies their color characteristics
3Manufacturing precision
If manual color editing tools are used, then designers can precisely adjust colors, but computational resources and processing time are excessively consumed
Solution Approach 1:
The system replaces iterative manual color adjustment with direct mathematical affine transformation of color parameters, computing the optimal color mapping in a single computational pass rather than through repeated manual edits, significantly reducing processing time and computational energy
Solution Approach 2:
The system transforms the color adjustment problem into a parameter optimization problem by establishing affine relationships between color spaces, allowing precise color control through mathematical parameter transformation rather than iterative manual adjustment
4Ease of operation
If existing recoloring platforms provide manual manipulation tools, then users can control design elements, but the system suffers from operational inflexibility and efficiency limitations
Solution Approach 1:
The system automatically performs the entire recoloring workflow from reference image generation to color transfer and application, eliminating the need for manual designer intervention in each step of the process while maintaining full control over the output through automated parameter optimization
Solution Approach 2:
The system generates the reference image with desired color characteristics beforehand using text-to-image diffusion, then uses this pre-generated reference to guide the color transfer process, eliminating the need for designers to search through image datasets or manually create reference materials
Data Source
AI summary
The systems, methods, and non-transitory computer-readable media include recoloring a digital design according to colors of a digital image and further generating an enhanced recolored digital design. In particular, in some embodiments, the disclosed systems identify a digital image for recoloring a digital design and recolors the digital design utilizing a color affine transformation algorithm to generate a recolored digital design. Further, in some embodiments, the disclosed systems generate the enhanced recolored digital design by transforming one or more colors of the recolored digital design to be within a range of the colors of the digital image utilizing a convex hull projection method. Moreover, in some embodiments, the disclosed systems further enhance the recolored digital design utilizing a contrast enhancement algorithm to modify luminescence values.