CTD-Diff integrates physical channel noise into the diffusion chain via TDMA cooperation and signal aggregation to enhance reconstruction accuracy and perceptual quality in multi-user semantic communication, especially at low SNR.
Denoising diffusion probabilistic models
4 Pith papers cite this work. Polarity classification is still indexing.
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Physics-informed digital twin reconstructs sparse CSI via physical-prior attention and predicts NTN traffic via orbit-adaptive spatiotemporal GNN plus deterministic baseline.
MARMamba is a streamlined UNet with MS-Mamba modules that removes metal artifacts from CT images while preserving anatomical structures and using fewer resources.
WeatherRemover is a lightweight all-in-one adverse weather removal model that uses channel-wise attention, linear spatial reduction, and gating in a multi-scale transformer-UNet to restore images efficiently across rain, snow, and fog.
citing papers explorer
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CTD-Diff: Cooperative Time-Division Diffusion for Multi-User Semantic Communication Systems
CTD-Diff integrates physical channel noise into the diffusion chain via TDMA cooperation and signal aggregation to enhance reconstruction accuracy and perceptual quality in multi-user semantic communication, especially at low SNR.
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Physics-Informed Digital Twins for Channel Estimation and Traffic Prediction of Non-Terrestrial Networks
Physics-informed digital twin reconstructs sparse CSI via physical-prior attention and predicts NTN traffic via orbit-adaptive spatiotemporal GNN plus deterministic baseline.
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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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WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
WeatherRemover is a lightweight all-in-one adverse weather removal model that uses channel-wise attention, linear spatial reduction, and gating in a multi-scale transformer-UNet to restore images efficiently across rain, snow, and fog.