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 1151–1200 of 3874 papers

TitleStatusHype
Deep Mean-Shift Priors for Image RestorationCode0
A Lightweight Recurrent Grouping Attention Network for Video Super-ResolutionCode0
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-ResolutionCode0
Deeply-Recursive Convolutional Network for Image Super-ResolutionCode0
Multi Kernel Estimation based Object SegmentationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-ResolutionCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
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
Multigrid Backprojection Super-Resolution and Deep Filter VisualizationCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
MRI Super-Resolution using Multi-Channel Total VariationCode0
MR Slice Profile Estimation by Learning to Match Internal Patch DistributionsCode0
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited DataCode0
Deep learning for temporal super-resolution 4D Flow MRICode0
MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest DetectionCode0
Deep Learning for Single Image Super-Resolution: A Brief ReviewCode0
Deep Learning for Multiple-Image Super-ResolutionCode0
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural NetworksCode0
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationCode0
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-ResolutionCode0
Deep Learning for Image Super-resolution: A SurveyCode0
Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsCode0
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