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 351–375 of 3874 papers

TitleStatusHype
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution—0
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution—0
GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution—0
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO—0
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference—0
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement—0
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images—0
TINQ: Temporal Inconsistency Guided Blind Video Quality AssessmentCode0
Joint Multitarget Detection and Tracking with mmWave Radar—0
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data—0
Solving Inverse Problems via Diffusion Optimal ControlCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Uncertainty Estimation for Super-Resolution using ESRGAN—0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution—0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model—0
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution—0
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
Block-Based Multi-Scale Image Rescaling—0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified