Abstract: The arbitrary-scale image super-resolution (ASISR), a recent popular topic in computer vision, aims to achieve arbitrary-scale high-resolution recoveries from a low-resolution input image.

Abstract: Most existing deep-learning-based polarimetric synthetic aperture radar (PolSAR) image super-resolution methods are trained on paired low- and high-resolution datasets generated by a fixed ...

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 ...

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. Billie Joe Armstrong of Green Day performs during ...

Dependabot is currently unable to resolve the project’s Python dependencies and therefore cannot create dependency update PRs. Dependabot reports the following error: Dependabot can't resolve your ...

Senate Republicans on Wednesday defeated a war powers resolution to block President Trump from using military force “within or against” Venezuela after two Republicans who voted last week to advance ...

Researchers have demonstrated that consumer-grade 3D printers and inexpensive materials can produce advanced optical components capable of super-resolution imaging. Each custom lens costs less than $1 ...

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 ...