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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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 06., Seite 6418-6431
Auteur principal:	Xin, Jingwei (Auteur)
Autres auteurs:	Shi, Boneng, Wang, Nannan, Li, Jie, Gao, Xinbo
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article