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October 13, 2025Open Access

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models

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Proposed framework synthesizes design images from textual descriptions, indicating significant progress in style consistency.

DesignDiffusion achieves state-of-the-art performance in design image generation with improved accuracy.
The framework synthesizes textual and visual design elements from user prompts, addressing style inconsistencies.
It employs a unique character embedding approach along with character localization loss for enhanced supervision.
Extensive experiments illustrate the effectiveness of self-play Direct Preference Optimization in quality improvement.

Wang et al. (2025) studied this question.

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