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

Showing 11511175 of 3874 papers

TitleStatusHype
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural NetworksCode0
MRI Super-Resolution using Multi-Channel Total VariationCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Deep Mean-Shift Priors for Image RestorationCode0
A Lightweight Recurrent Grouping Attention Network for Video Super-ResolutionCode0
Deeply-Recursive Convolutional Network for Image Super-ResolutionCode0
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-ResolutionCode0
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
Deep learning Framework for Mobile MicroscopyCode0
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images OnlyCode0
DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing DataCode0
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
MetH: A family of high-resolution and variable-shape image challengesCode0
Deep learning for temporal super-resolution 4D Flow MRICode0
Deep Learning for Single Image Super-Resolution: A Brief ReviewCode0
Deep Learning for Multiple-Image Super-ResolutionCode0
Mining self-similarity: Label super-resolution with epitomic representationsCode0
Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality DecouplingCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
Deep Learning for Image Super-resolution: A SurveyCode0
Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsCode0
Deep Learning for Cornea Microscopy Blind DeblurringCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified