SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 1551–1560 of 3874 papers

TitleStatusHype
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Dynamic Structured Illumination Microscopy with a Neural Space-time ModelCode0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Image Super-Resolution Improved by Edge InformationCode0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Image-Adaptive GAN based ReconstructionCode0
Image Formation Model Guided Deep Image Super-ResolutionCode0
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-ResolutionCode0
Image quality measurements and denoising using Fourier Ring CorrelationsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified