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 2676–2700 of 3874 papers

TitleStatusHype
CT Super Resolution via Zero Shot Learning—0
Projected Distribution Loss for Image EnhancementCode0
Polyblur: Removing mild blur by polynomial reblurring—0
TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images—0
Learning Continuous Image Representation with Local Implicit Image FunctionCode2
Learning-Based Quality Assessment for Image Super-Resolution—0
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local AdjustmentCode1
Geometry Enhancements from Visual Content: Going Beyond Ground Truth—0
Decimated Framelet System on Graphs and Fast G-Framelet TransformsCode0
Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution—0
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation—0
Super-resolution Guided Pore Detection for Fingerprint Recognition—0
Improving the Fairness of Deep Generative Models without RetrainingCode1
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis—0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias ClassificationCode0
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors—0
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution—0
EVRNet: Efficient Video Restoration on Edge Devices—0
Learning Spatial Attention for Face Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified