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

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Showing 2926–2950 of 3874 papers

TitleStatusHype
Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges—0
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks—0
Zoom in to the details of human-centric videos—0
Perceptual Extreme Super Resolution Network with Receptive Field BlockCode1
Bayesian Conditional GAN for MRI Brain Image Synthesis—0
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation—0
Efficient and Phase-aware Video Super-resolution for Cardiac MRI—0
Single Image Super-Resolution via Residual Neuron Attention Networks—0
Iterative Network for Image Super-ResolutionCode1
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial NetworkCode1
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral ImageryCode1
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution—0
MedSRGAN: medical images super-resolution using generative adversarial networksCode1
A Generative Model for Generic Light Field Reconstruction—0
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level AligningCode1
Invertible Image RescalingCode1
Scene Text Image Super-Resolution in the WildCode1
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and ResultsCode1
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results—0
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results—0
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network—0
Neural Differential Equations for Single Image Super-resolution—0
On Solving SAR Imaging Inverse Problems Using Non-Convex Regularization with a Cauchy-based PenaltyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified