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Found 5 papers, 2 papers with code
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging
The results show the effectiveness of the developed physics-based learned reconstruction approach in terms of both run-time and image quality at highly compressive settings.
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging
We solve this inverse problem by using the alternating direction method of multipliers (ADMM) framework.
High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction
Spectral imaging is a fundamental diagnostic technique with widespread application.
Rolling Shutter Correction
Vocal Bursts Intensity Prediction
Efficient Algorithms for Convolutional Inverse Problems in Multidimensional Imaging
As the advent of multidimensional imaging modalities expands to perform sophisticated tasks, these algorithms are essential for fast iterative reconstruction in various large-scale problems.
Deep Iterative Reconstruction for Phase Retrieval
First, a DNN is trained to remove the HIO artifacts and is used iteratively with the HIO method to improve the reconstructions.
