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 2251–2300 of 3874 papers

TitleStatusHype
Advancing High-Resolution Video-Language Representation with Large-Scale Video TranscriptionsCode1
Image Super-Resolution Using T-Tetromino Pixels—0
Local Texture Estimator for Implicit Representation FunctionCode1
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution—0
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution—0
Pansharpening by convolutional neural networks in the full resolution frameworkCode1
Image-specific Convolutional Kernel Modulation for Single Image Super-resolutionCode1
Pixel-Level Kernel Estimation for Blind Super-ResolutionCode0
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal SurveillanceCode0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention—0
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation—0
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process—0
Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition KernelsCode0
Physics-Informed Neural Operator for Learning Partial Differential EquationsCode1
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution—0
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution—0
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation—0
Resampling and super-resolution of hexagonally sampled images using deep learning—0
Blind inverse problems with isolated spikes—0
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle ImagingCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos—0
AdaPool: Exponential Adaptive Pooling for Information-Retaining DownsamplingCode1
A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded—0
Learning Continuous Representation of Audio for Arbitrary Scale Super ResolutionCode1
Functional Neural Networks for Parametric Image Restoration Problems—0
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through timeCode0
Scale-Aware Dynamic Network for Continuous-Scale Super-ResolutionCode1
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution—0
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural RepresentationCode1
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural NetworkCode0
Dense Dual-Attention Network for Light Field Image Super-Resolution—0
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution—0
Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform—0
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution—0
Error-correcting neural networks for semi-Lagrangian advection in the level-set method—0
Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networksCode1
Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models—0
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
In-Orbit Lunar Satellite Image Super Resolution for Selective Data Transmission—0
Boosting Lightweight Single Image Super-resolution via Joint-distillationCode0
Scene Text Image Super-Resolution via Parallelly Contextual Attention NetworkCode0
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment—0
EFENet: Reference-based Video Super-Resolution with Enhanced Flow EstimationCode1
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution—0
Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus ImagingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified