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 2551–2600 of 3874 papers

TitleStatusHype
Single Image Super-Resolution Based on Global-Local Information Synergy—0
Single Image Super-Resolution based on Wiener Filter in Similarity Domain—0
Single image super-resolution by approximated Heaviside functions—0
Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission—0
Single Image Super-Resolution From Transformed Self-Exemplars—0
Single image super resolution in spatial and wavelet domain—0
Single Image Super-Resolution Methods: A Survey—0
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels—0
Single Image Super-Resolution Using Lightweight CNN with Maxout Units—0
Single Image Super-resolution using Deformable Patches—0
Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer—0
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network—0
Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction—0
Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network—0
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network—0
Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis—0
Single Image Super Resolution via Manifold Approximation—0
Single Image Super-Resolution via Residual Neuron Attention Networks—0
Single Image Super Resolution - When Model Adaptation Matters—0
Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images—0
Single-Layer Learnable Activation for Implicit Neural Representation (SL^2A-INR)—0
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network—0
Single particle algorithms to reveal cellular nanodomain organization—0
Single-photon Image Super-resolution via Self-supervised Learning—0
Single-pixel imaging based on deep learning—0
Single-sample image-fusion upsampling of fluorescence lifetime images—0
Single-shot structured illumination microscopy—0
Single-snapshot machine learning for super-resolution of turbulence—0
Single Snapshot Super-Resolution DOA Estimation for Arbitrary Array Geometries—0
Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution—0
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography—0
High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network—0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network—0
Soft-IntroVAE for Continuous Latent space Image Super-Resolution—0
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution—0
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint—0
Solving Video Inverse Problems Using Image Diffusion Models—0
Some medical applications of example-based super-resolution—0
Sound and Visual Representation Learning with Multiple Pretraining Tasks—0
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks—0
Source Identification: A Self-Supervision Task for Dense Prediction—0
Space-Time Distillation for Video Super-Resolution—0
Space-Time Video Super-resolution with Neural Operator—0
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography—0
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction—0
Sparse Based Super Resolution Multilayer Ultrasonic Array Imaging—0
Sparse Coding Approach for Multi-Frame Image Super Resolution—0
Sparse Depth Super Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified