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 2951–3000 of 3874 papers

TitleStatusHype
Robust Spectral Compressed Sensing via Structured Matrix Completion—0
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer—0
Robust Super-Resolution GAN, with Manifold-based and Perception Loss—0
Super-Resolution of Real-World Faces—0
Robust Unpaired Single Image Super-Resolution of Faces—0
Robust Video Super-Resolution With Learned Temporal Dynamics—0
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models—0
Rolling Shutter Super-Resolution—0
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding—0
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection—0
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model—0
A Simple Plugin for Transforming Images to Arbitrary Scales—0
RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content—0
A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields—0
S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting—0
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA—0
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process—0
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis—0
A self-adapting super-resolution structures framework for automatic design of GAN—0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions—0
Sampling Based Scene-Space Video Processing—0
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information—0
Generative Imaging and Image Processing via Generative Encoder—0
SASNet: Spatially-Adaptive Sinusoidal Neural Networks—0
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models—0
Satellite Image Small Target Application Based on Deep Segmented Residual Neural Network—0
SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution—0
Scalable image coding based on epitomes—0
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks—0
Scale-arbitrary Invertible Image Downscaling—0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Use of triplet loss for facial restoration in low-resolution images—0
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution—0
Scale-Transferrable Object Detection—0
A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded—0
USF Spectral Estimation: Prevalence of Gaussian Cramér-Rao Bounds Despite Modulo Folding—0
SCAN-MUSIC: An Efficient Super-resolution Algorithm for Single Snapshot Wide-band Line Spectral Estimation—0
Scene Prior Filtering for Depth Super-Resolution—0
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings—0
A Review of Deep Learning Based Image Super-resolution Techniques—0
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution—0
Scene Text Image Super-Resolution via Content Perceptual Loss and Criss-Cross Transformer Blocks—0
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows—0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Screentone-Aware Manga Super-Resolution Using DeepLearning—0
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified