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 1926–1950 of 3874 papers

TitleStatusHype
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution—0
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Effect of structure-based training on 3D localization precision and quality—0
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis—0
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN—0
Neural Operators for Accelerating Scientific Simulations and Design—0
Uncertainty Quantification via Neural Posterior Principal Components—0
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution SegmentationCode0
Guided Frequency Loss for Image Restoration—0
An Ensemble Model for Distorted Images in Real Scenarios—0
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks—0
Data Upcycling Knowledge Distillation for Image Super-ResolutionCode0
A Lightweight Recurrent Grouping Attention Network for Video Super-ResolutionCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data—0
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinementCode0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
License Plate Super-Resolution Using Diffusion Models—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approachCode0
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach—0
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified