MVFusion : Generative Representation Learning With Masked Variational Autoencoders for Multi-Modality Image Fusion

Creating a comprehensively representative image while maintaining the merits of various modalities is a key focus of current Multi-Modality Image Fusion research. Existing unified methods often struggle to handle varying types of degradation while extracting modality-shared and modality-specific inf...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 06., Seite 6418-6431
1. Verfasser:	Xin, Jingwei (VerfasserIn)
Weitere Verfasser:	Shi, Boneng, Wang, Nannan, Li, Jie, Gao, Xinbo
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article