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içgörü - Image Fusion Framework
ReFusion: Learning Image Fusion with Meta-Learning
The author introduces ReFusion, a unified image fusion framework based on meta-learning, to address challenges in deep learning-based image fusion algorithms by introducing a parameterized loss function dynamically adjusted for different fusion tasks.
FusionINN: Invertible Image Fusion for Brain Tumor Monitoring
Introducing FusionINN, an invertible image fusion framework for efficient generation and decomposition of fused images.
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
ReFusion introduces a unified image fusion framework based on meta-learning, providing a learnable fusion loss function that adapts to various fusion tasks.