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 3501–3550 of 3874 papers

TitleStatusHype
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Learning Likelihoods with Conditional Normalizing FlowsCode0
Light Field Super-resolution via Attention-Guided Fusion of Hybrid LensesCode0
Super-Resolution without High-Resolution Labels for Black Hole SimulationsCode0
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsCode0
Boosting Lightweight Single Image Super-resolution via Joint-distillationCode0
Learning Descriptor Networks for 3D Shape Synthesis and AnalysisCode0
Learning a Single Convolutional Super-Resolution Network for Multiple DegradationsCode0
Pixel-Level Kernel Estimation for Blind Super-ResolutionCode0
Learning a No-Reference Quality Metric for Single-Image Super-ResolutionCode0
Pixel Recursive Super ResolutionCode0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-ResolutionCode0
PLAIN: Scalable Estimation Architecture for Integrated Sensing and CommunicationCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity RepresentationCode0
s-LWSR: Super Lightweight Super-Resolution NetworkCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration ModelsCode0
EDADepth: Enhanced Data Augmentation for Monocular Depth EstimationCode0
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-ResolutionCode0
Wavelet Flow: Fast Training of High Resolution Normalizing FlowsCode0
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancementCode0
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal SurveillanceCode0
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias ClassificationCode0
Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm DesignCode0
A Review of Convolutional Neural Networks for Inverse Problems in ImagingCode0
Unpaired Depth Super-Resolution in the WildCode0
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-ResolutionCode0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-ResolutionCode0
Practical Manipulation Model for Robust Deepfake DetectionCode0
Laplacian Pyramid-like AutoencoderCode0
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-NetCode0
EarthGen: Generating the World from Top-Down ViewsCode0
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information FlowCode0
Dynamic Structured Illumination Microscopy with a Neural Space-time ModelCode0
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled VariablesCode0
Kernel Modeling Super-Resolution on Real Low-Resolution ImagesCode0
Kernel-aware Burst Blind Super-ResolutionCode0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural OperatorsCode0
Unsupervised Blur Kernel Estimation and Correction for Blind Super-ResolutionCode0
TPU-GAN: Learning temporal coherence from dynamic point cloud sequencesCode0
DWA: Differential Wavelet Amplifier for Image Super-ResolutionCode0
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images OnlyCode0
Dual-Stream Fusion Network for Spatiotemporal Video Super-ResolutionCode0
Trainable Loss Weights in Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified