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Author

Hao Zhang

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Preprint Oct 2026

Win-Win Fusion: Multi-Modal Image Fusion with Visual-Semantic Collaboration

Existing multi-modal image fusion (MMIF) methods generally face an optimization gap between the visual and semantic domains, limiting the enhancement of perception capabilities. To overcome this long-standing barrier, this work proposes W2F, a new visual-semantic mutual reinforcing paradigm for MMIF. First, we reinforc...

Hao Zhang, Xu-Hui Zuo, Jia-Yi Ma · 0 citations
Aug 2026

Towards Heterogeneous-Degradation-Robust Image Fusion with Controllable Generative Modulation.

DuS-DiFuse is proposed, a robust dual-stream latent diffusion framework composed of a diffusion fusion unit and a generative modulation unit that achieves leading fusion performance, exhibits strong robustness to heterogeneous degradations, generalizes well across fusion tasks, and supports effective controllable gener...

Lei Cao, Hao Zhang, Peng Zhang et al. · 0 citations
Aug 2026

GText-IF: Leveraging Text-Driven Semantics for Degradation-Aware Image Fusion.

An innovative degradation-aware image fusion framework via leveraging text-driven semantics, termed GText-IF, which can perform effective degradation-aware fusion in real degraded image scenarios, exhibiting remarkable advancement, robustness, and practicality.

Xun-Peng Yi, Han Xu, Yi-Bing Zhang et al. · 1 citation

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