This repository contains a implementation of an autoencoder using PyTorch to reconstruct images from the CIFAR-10 dataset. The autoencoder is designed to learn encodings of images, enabling it to ...

However, current deep learning-based image reconstruction methods require a large number of voltage-conductivity samples for training. This article proposes a sensitivity-guided unsupervised learning ...

SSI systems generally operate within the ‘encoding-decoding’ framework, leveraging the synergism of optical hardware and reconstruction algorithms. Typically, reconstructing desired spectral images ...

The implementation achieves successful image generation and reconstruction on both datasets, with better performance on Fashion-MNIST due to its simpler structure. Visualizations demonstrate the trade ...

Several reconstruction algorithms have been developed during the last few years. In this manuscript we compare a well-established algorithm and a re-cently developed method for image reconstruction ...