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 3751–3775 of 3874 papers

TitleStatusHype
Hierarchical Back Projection Network for Image Super-ResolutionCode0
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-ResolutionCode0
HASN: Hybrid Attention Separable Network for Efficient Image Super-resolutionCode0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
Deep learning for temporal super-resolution 4D Flow MRICode0
Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-ResolutionCode0
Deep Learning for Single Image Super-Resolution: A Brief ReviewCode0
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.Code0
Grids Often Outperform Implicit Neural RepresentationsCode0
AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsCode0
GhostSR: Learning Ghost Features for Efficient Image Super-ResolutionCode0
Structured illumination microscopy image reconstruction algorithmCode0
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-ResolutionCode0
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representationsCode0
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-ResolutionCode0
Deep Learning for Multiple-Image Super-ResolutionCode0
Generative Collaborative Networks for Single Image Super-ResolutionCode0
Generative Adversarial Networks: An OverviewCode0
Deep Learning for Image Super-resolution: A SurveyCode0
Generative adversarial network-based image super-resolution using perceptual content lossesCode0
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Generalized super-resolution 4D Flow MRI x2013 using ensemble learning to extend across the cardiovascular systemCode0
Gated Multiple Feedback Network for Image Super-ResolutionCode0
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment TechnologyCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
Show:102550
← PrevPage 151 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified