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 2476–2500 of 3874 papers

TitleStatusHype
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing FlowCode0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationCode0
Semi-Supervised Super-Resolution—0
Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm DesignCode0
GHM Wavelet Transform for Deep Image Super Resolution—0
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography—0
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks—0
Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris—0
Denoiser-based projections for 2-D super-resolution multi-reference alignmentCode0
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning—0
Dynamic super-resolution in particle tracking problems—0
Evaluating the Adversarial Robustness for Fourier Neural Operators—0
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction—0
Super-resolved multi-temporal segmentation with deep permutation-invariant networks—0
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts—0
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution—0
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder—0
MyStyle: A Personalized Generative Prior—0
Physics-informed deep-learning applications to experimental fluid mechanics—0
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows—0
Show:102550
← PrevPage 100 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified