MARMamba is a streamlined UNet with MS-Mamba modules that removes metal artifacts from CT images while preserving anatomical structures and using fewer resources.
Denoising diffusion implicit models,
2 Pith papers cite this work. Polarity classification is still indexing.
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The tutorial synthesizes diffusion model techniques for generative semantic communications to achieve high compression while preserving meaning in wireless transmission.
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Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction
MARMamba is a streamlined UNet with MS-Mamba modules that removes metal artifacts from CT images while preserving anatomical structures and using fewer resources.
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Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
The tutorial synthesizes diffusion model techniques for generative semantic communications to achieve high compression while preserving meaning in wireless transmission.