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

Showing 28512875 of 3874 papers

TitleStatusHype
Real-World Super-Resolution of Face-Images from Surveillance Cameras0
Sampling Based Scene-Space Video Processing0
Image Restoration by Deep Projected GSURE0
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 products0
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term0
Back-Projection Pipeline0
Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolutionCode0
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views0
Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering0
Progressive Image Super-Resolution via Neural Differential Equation0
Regularization via deep generative models: an analysis point of view0
GhostSR: Learning Ghost Features for Efficient Image Super-ResolutionCode0
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices0
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution0
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees0
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars0
Single Image Super-Resolution0
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination0
VHS to HDTV Video Translation using Multi-task Adversarial Learning0
Dual-Stream Fusion Network for Spatiotemporal Video Super-ResolutionCode0
Transformers in Vision: A Survey0
EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution0
Benchmarking Ultra-High-Definition Image Super-Resolution0
Event Stream Super-Resolution via Spatiotemporal Constraint Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified