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Found 3 papers, 3 papers with code
MIMO Channel Estimation using Score-Based Generative Models
We introduce a framework for training score-based generative models for wireless MIMO channels and performing channel estimation based on posterior sampling at test time.
Score-Based Generative Models for Robust Channel Estimation
We train a score-based model on channel realizations from the CDL-D model for two antenna spacings and show that the approach leads to competitive in- and out-of-distribution performance when compared to generative adversarial network (GAN) and compressed sensing (CS) methods.
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
By adding an additional loss function on the low-dimensional feature space during training, the reconstruction frameworks from under-sampled or corrupted data can reproduce more realistic images that are closer to the original with finer textures, sharper edges, and improved overall image quality.
