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 2626–2650 of 3874 papers

TitleStatusHype
Learning Non-linear Wavelet Transformation via Normalizing FlowCode1
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term—0
Deep Burst Super-ResolutionCode1
Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolutionCode0
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views—0
Back-Projection Pipeline—0
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-ResolutionCode1
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstructionCode1
Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering—0
Progressive Image Super-Resolution via Neural Differential Equation—0
GhostSR: Learning Ghost Features for Efficient Image Super-ResolutionCode0
Regularization via deep generative models: an analysis point of view—0
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices—0
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous DatasetsCode1
Fast and accurate learned multiresolution dynamical downscaling for precipitationCode1
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution—0
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees—0
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars—0
Deep Learning-based Face Super-Resolution: A SurveyCode1
Single Image Super-Resolution—0
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination—0
VHS to HDTV Video Translation using Multi-task Adversarial Learning—0
Dual-Stream Fusion Network for Spatiotemporal Video Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified