Abstract: Transformer-based approaches have shown strong capability in reconstructing high-quality images for single image super-resolution (SISR). However, their high computational burden and ...
After Russia invaded Ukraine in 2022, social media was littered with crude fakes that were presented as fresh images of the war but were either photoshopped phonies or mislabeled clips taken from ...
Abstract: To address the low resolution, blurred details, and high computational cost of railway perimeter images, we propose RPIT, a hybrid model combining a lightweight CNN and an enhanced ...
Abstract: Magnetic resonance imaging (MRI) is crucial in clinical diagnosis. Image super-resolution techniques, which can improve MRI image quality without hardware modifications, are a promising ...
Scientists have captured the most complete, high-resolution map of the cold gas at the center of the Milky Way, which contains the raw material from which stars and planets are made. Information from ...
Abstract: In the field of GPU graphics processing, pixel performance is often the bottleneck of system performance. Reducing the load of the pixel engine is of great significance to improving the ...
Abstract: Existing blind super-resolution methods face two main challenges when handling multiple degradation types: the degradation feature representations extracted by deep networks are incomplete ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results