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 2601–2625 of 3874 papers

TitleStatusHype
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different ResolutionsCode1
Learning for Unconstrained Space-Time Video Super-Resolution—0
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning—0
Provable Compressed Sensing with Generative Priors via Langevin Dynamics—0
Deep Unrolled Network for Video Super-Resolution—0
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution—0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
A Comprehensive Review of Deep Learning-based Single Image Super-resolution—0
Mobile Computational Photography: A Tour—0
SRDTI: Deep learning-based super-resolution for diffusion tensor MRICode1
Selfie Periocular Verification using an Efficient Super-Resolution Approach—0
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsCode1
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images—0
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images—0
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance imagesCode0
Deep learning architectural designs for super-resolution of noisy imagesCode1
Single Image Super-Resolution using Residual Channel Attention NetworkCode0
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity AttackCode1
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling—0
Real-World Super-Resolution of Face-Images from Surveillance Cameras—0
Sampling Based Scene-Space Video Processing—0
Image Restoration by Deep Projected GSURE—0
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledgeCode0
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products—0
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified