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September 10, 2025AlgorithmsOpen Access

Multi-Scale Universal Style-Transfer Network Based on Diffusion Model

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This model enhances edge fidelity and image quality in style transfer, indicating breakthroughs in artistic style preservation.

The proposed network improves edge fidelity and overall image quality in artistic style transfer.
It leverages a multi-scale approach with both coarse and refined style-transfer modules for better results.
The model outperforms state-of-the-art methods by effectively preserving edge details and enhancing fusion.
Using ControlNet and Stable Diffusion, it supports content-aware edge redrawing to refine images further.

Su et al. (2025) studied this question.

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