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 1201–1250 of 3874 papers

TitleStatusHype
MRI Super-Resolution using Multi-Channel Total VariationCode0
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural NetworksCode0
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited DataCode0
MR Slice Profile Estimation by Learning to Match Internal Patch DistributionsCode0
Deep Generative Model based Rate-Distortion for Image Downscaling AssessmentCode0
Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus ImagingCode0
Deep Fourier Up-SamplingCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-ResolutionCode0
Deep learning Framework for Mobile MicroscopyCode0
Deep Decomposition Learning for Inverse Imaging ProblemsCode0
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-ResolutionCode0
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face HallucinationCode0
DeepCEL0 for 2D Single Molecule Localization in Fluorescence MicroscopyCode0
Deep Burst DenoisingCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
Deep Bi-Dense Networks for Image Super-ResolutionCode0
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and ResultsCode0
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Unsupervised Hyperspectral and Multispectral Image Fusion via Self-Supervised Modality DecouplingCode0
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-ResolutionCode0
Deep Back-Projection Networks For Super-ResolutionCode0
Deep Back-Projection Networks for Single Image Super-resolutionCode0
AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsCode0
MetH: A family of high-resolution and variable-shape image challengesCode0
Audio Super Resolution using Neural NetworksCode0
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-ResolutionCode0
Decouple Learning for Parameterized Image OperatorsCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
Decimated Framelet System on Graphs and Fast G-Framelet TransformsCode0
Attention Based Real Image RestorationCode0
Medical Image Imputation from Image CollectionsCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRICode0
Masked Autoencoders are PDE LearnersCode0
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow ModelsCode0
Attention-based Multi-Reference Learning for Image Super-ResolutionCode0
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Mining self-similarity: Label super-resolution with epitomic representationsCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
MAANet: Multi-view Aware Attention Networks for Image Super-ResolutionCode0
Data Upcycling Knowledge Distillation for Image Super-ResolutionCode0
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approachCode0
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-DesignCode0
Data-Free Knowledge Distillation for Image Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified