Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
This is a PyTorch implementation of the paper MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers published in IEEE TIP 2024. Arxiv link. Notice: This repo is still working ...
Abstract: In remote sensing image processing for Earth and environmental applications, super-resolution (SR) is a crucial technique for enhancing the resolution of low-resolution (LR) images. In this ...
Update 02/23/23: We have now made the demo on the IPOL plateform publicly available. You can use it with you own raw images. This repository contains a non-official implementation of the “Handheld ...
Researchers have shown that consumer-grade 3D printers and low-cost materials can be used to produce multi-element optical components that enable super-resolution imaging, with each lens costing less ...
Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...
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