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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1176–1200 of 3874 papers

TitleStatusHype
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Deep Learning for Cornea Microscopy Blind DeblurringCode0
Deep learning Framework for Mobile MicroscopyCode0
Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality DecouplingCode0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
A Learning-Based Framework for Line-Spectra Super-resolutionCode0
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Deep learning-based super-resolution fluorescence microscopy on small datasetsCode0
Mining self-similarity: Label super-resolution with epitomic representationsCode0
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual QualityCode0
MetH: A family of high-resolution and variable-shape image challengesCode0
Deep Learning-Based Channel EstimationCode0
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimationCode0
Adaptive Densely Connected Super-Resolution ReconstructionCode0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse ProblemsCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Deep Laplacian Pyramid Networks for Fast and Accurate Super-ResolutionCode0
Deep Laplacian Pyramid Network for Text Images Super-ResolutionCode0
Deep Iterative Residual Convolutional Network for Single Image Super-ResolutionCode0
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-ResolutionCode0
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through timeCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified