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 476–500 of 3874 papers

TitleStatusHype
Super-resolution in disordered media using neural networks—0
Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution NetworkCode1
Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-ResolutionCode0
Super-resolved virtual staining of label-free tissue using diffusion models—0
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging—0
Hyperspectral Spatial Super-Resolution using Keystone Error—0
Advancements in Image Resolution: Super-Resolution Algorithm for Enhanced EOS-06 OCM-3 Data—0
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis—0
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models—0
A Wavelet Diffusion GAN for Image Super-Resolution—0
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution—0
Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion StrategiesCode0
Multi Kernel Estimation based Object SegmentationCode0
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models—0
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
Advanced Underwater Image Quality Enhancement via Hybrid Super-Resolution Convolutional Neural Networks and Multi-Scale Retinex-Based Defogging Techniques—0
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks—0
ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution—0
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation—0
Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion ModelCode0
Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches—0
Spatio-Temporal Distortion Aware Omnidirectional Video Super-ResolutionCode0
Degradation Oriented and Regularized Network for Blind Depth Super-ResolutionCode1
Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications—0
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified