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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1171–1180 of 3874 papers

Title	Date	Tasks	Status	Score
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer	Mar 11, 2023	Generative Adversarial NetworkSSIM	CodeCode Available	5
Multigrid Backprojection Super-Resolution and Deep Filter Visualization	Sep 25, 2018	Super-Resolution	CodeCode Available	5
Deep Learning for Image Super-resolution: A Survey	Feb 16, 2019	Deep LearningImage Super-Resolution	CodeCode Available	5
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors	Jun 20, 2019	Compressive SensingDenoising	CodeCode Available	5
Deep Learning for Cornea Microscopy Blind Deblurring	Jun 25, 2020	DeblurringDeep Learning	CodeCode Available	5
MemNet: A Persistent Memory Network for Image Restoration	Aug 7, 2017	Color Image DenoisingImage Restoration	CodeCode Available	5
MetH: A family of high-resolution and variable-shape image challenges	Nov 20, 2019	image-classificationImage Classification	CodeCode Available	5
A Learning-Based Framework for Line-Spectra Super-resolution	Nov 14, 2018	Super-Resolution	CodeCode Available	5
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement	Oct 20, 2018	Computational EfficiencyDenoising	CodeCode Available	5
Deep learning-based super-resolution fluorescence microscopy on small datasets	Mar 7, 2021	Deep LearningSuper-Resolution	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	super-resolution	Average PSNR	20.41	—	Unverified