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Yanning Zhang School of Computer Science

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Preprint Aug 2026

Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

TGFusion is proposed, a text-guided latent-space flow matching framework that unifies degradation suppression and cross-modal fusion and achieves superior or competitive performance in perceptual quality, image naturalness, structural-detail preservation, and infrared-saliency retention, while remaining robust across diverse single and compound degradations.

Axi Niu, Jiehua Li, Kang Zhang et al. · 0 citations