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 101–125 of 3874 papers

TitleStatusHype
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual LearningCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
Generative Diffusion-based Downscaling for ClimateCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion ModelsCode2
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
Dual Aggregation Transformer for Image Super-ResolutionCode2
Immersive Neural Graphics PrimitivesCode2
Implicit Diffusion Models for Continuous Super-ResolutionCode2
Adaptive Super Resolution For One-Shot Talking-Head GenerationCode2
Binarized Diffusion Model for Image Super-ResolutionCode2
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution NetworkCode2
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
Learning Generative Structure Prior for Blind Text Image Super-resolutionCode2
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Denoising Diffusion Restoration ModelsCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified