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

Showing 361370 of 3874 papers

TitleStatusHype
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images0
TINQ: Temporal Inconsistency Guided Blind Video Quality AssessmentCode0
Joint Multitarget Detection and Tracking with mmWave Radar0
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data0
Solving Inverse Problems via Diffusion Optimal ControlCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Uncertainty Estimation for Super-Resolution using ESRGAN0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified