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

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Showing 101–125 of 3874 papers

TitleStatusHype
AIM 2020 Challenge on Efficient Super-Resolution: Methods and ResultsCode2
Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and ResultsCode2
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual LearningCode2
AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosCode2
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion ModelsCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-ResourceCode2
Immersive Neural Graphics PrimitivesCode2
Adaptive Super Resolution For One-Shot Talking-Head GenerationCode2
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual LossCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
Blur Interpolation Transformer for Real-World Motion from BlurCode2
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
Learning Generative Structure Prior for Blind Text Image Super-resolutionCode2
Dual Aggregation Transformer for Image Super-ResolutionCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
Denoising Diffusion Restoration ModelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified