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 2451–2500 of 3874 papers

TitleStatusHype
Evaluating the Generalization Ability of Super-Resolution Networks—0
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation—0
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review—0
AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRICode0
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning—0
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch NormalizationCode0
Joint OAM Radar-Communication Systems: Target Recognition and Beam Optimization—0
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds—0
Accelerating the Training of Video Super-Resolution ModelsCode0
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images—0
A Real Time Super Resolution Accelerator with Tilted Layer Fusion—0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing—0
SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution—0
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution—0
Super Images -- A New 2D Perspective on 3D Medical Imaging Analysis—0
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization—0
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network—0
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites—0
Lightweight Image Enhancement Network for Mobile Devices Using Self-Feature Extraction and Dense Modulation—0
BSRA: Block-based Super Resolution Accelerator with Hardware Efficient Pixel Attention—0
Generative Adversarial Networks for Image Super-Resolution: A Survey—0
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency—0
IMDeception: Grouped Information Distilling Super-Resolution Network—0
Unsupervised Blur Kernel Estimation and Correction for Blind Super-ResolutionCode0
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results—0
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing FlowCode0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationCode0
Semi-Supervised Super-Resolution—0
Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm DesignCode0
GHM Wavelet Transform for Deep Image Super Resolution—0
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography—0
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks—0
Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris—0
Denoiser-based projections for 2-D super-resolution multi-reference alignmentCode0
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning—0
Dynamic super-resolution in particle tracking problems—0
Evaluating the Adversarial Robustness for Fourier Neural Operators—0
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction—0
Super-resolved multi-temporal segmentation with deep permutation-invariant networks—0
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts—0
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution—0
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder—0
MyStyle: A Personalized Generative Prior—0
Physics-informed deep-learning applications to experimental fluid mechanics—0
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified