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 3326–3350 of 3874 papers

TitleStatusHype
Process of image super-resolution—0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
A Deep Journey into Super-resolution: A surveyCode0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images—0
MAANet: Multi-view Aware Attention Networks for Image Super-ResolutionCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-NetworkCode0
Label Super Resolution with Inter-Instance Loss—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
Camera Lens Super-ResolutionCode0
Blind Super-Resolution With Iterative Kernel CorrectionCode0
Fast Spatio-Temporal Residual Network for Video Super-Resolution—0
Controlling Neural Networks via Energy Dissipation—0
Deep Back-Projection Networks for Single Image Super-resolutionCode0
Learning Implicit Generative Models by Matching Perceptual Features—0
Lightweight Image Super-Resolution with Adaptive Weighted Learning NetworkCode0
Guided Super-Resolution as Pixel-to-Pixel TransformationCode1
CFSNet: Toward a Controllable Feature Space for Image RestorationCode0
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model—0
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study—0
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution—0
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Computational structured illumination for high-content fluorescent and phase microscopy—0
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network—0
Recurrent Back-Projection Network for Video Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified