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insikt - Multi-modality Image Fusion
Mamba-based Dual-phase Model for Effective and Efficient Multi-modality Image Fusion
MambaDFuse, a novel Mamba-based model, effectively and efficiently integrates complementary information from different modalities to generate high-quality fused images that enhance scene representation and facilitate downstream visual tasks.
DAE-Fuse: A Discriminative Autoencoder for Generating Sharp and Natural Multi-Modality Fused Images
DAE-Fuse, a novel two-phase discriminative autoencoder framework, generates sharp and natural fused images by introducing adversarial feature extraction and attention-guided cross-modality fusion.
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