Two-Stage Text Rendering for Synthetic Image Generation
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Solution Overview
Problem
Conventional image generation models struggle to accurately render text in synthetic images, leading to unreadable or unnatural text artifacts, especially in complex backgrounds, and fail to generalize well with multiple input text bounding boxes or recognize keywords in ambiguous prompts.
Innovation Solution
A system utilizing two image generation models, where a first model generates text structure images and a second model generates synthetic images based on layout and text features from the first model, enhancing text positioning and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image generation models are used to generate synthetic images with text, then the image generation process is simple and fast, but the text rendering quality is poor and unreadable
Solution Approach 1:
The system segments the image generation process into two distinct models: a first image generation model that generates text structure images with accurate text layout, and a second image generation model that generates the final synthetic image. This segmentation allows each model to specialize in specific tasks, improving text rendering quality while managing system complexity through modular architecture.
Solution Approach 2:
The text structure image generated by the first image generation model serves as an intermediary element that bridges the gap between the input prompt and the final synthetic image. This intermediary contains pre-processed text structure information that guides the second model to produce high-quality text rendering in the final output.
2Adaptability or versatility
If a single image generation model is used, then the system is simple to operate, but it fails to recognize keywords in ambiguous prompts and handle multiple text bounding boxes
Solution Approach 1:
The system divides the processing responsibilities between two specialized models. The first model focuses on extracting text structure and layout information from prompts, while the second model handles the comprehensive image generation. This segmentation enables the system to handle complex prompts with multiple text bounding boxes and ambiguous keywords more effectively.
Solution Approach 2:
The first image generation model performs preliminary processing by generating text structure images that capture text layout, positioning, and formatting information before the second model creates the final synthetic image. This preliminary action prepares the data in a structured format that enhances the system's ability to handle complex prompts.
3Manufacturing precision
If text is rendered directly in the final image generation step, then the process is efficient, but text artifacts appear unnatural and unreadable in complex backgrounds
Solution Approach 1:
The system separates text rendering from the final image synthesis by using two distinct models. The first model专门 handles text structure generation with accurate text rendering, while the second model integrates this text structure into the final synthetic image. This segmentation ensures text accuracy is maintained even in complex backgrounds.
Solution Approach 2:
The first image generation model performs preliminary text structure generation with proper text rendering before the second model creates the final image. This preliminary action ensures text is rendered accurately in isolation, and then integrated into the final image, maintaining both text accuracy and overall generation efficiency.
Data Source
AI summary
A method, apparatus, non-transitory computer readable medium, and system for image processing include obtaining an image generation prompt comprising a text to be generated in a synthetic image, generating a first image feature based on the image generation prompt, where the first image feature represents the text, and generating a synthetic image based on the image generation prompt and the first image feature, where the synthetic image includes the text.