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 2171–2180 of 3874 papers

TitleStatusHype
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution—0
Fast and selective super-resolution ultrasound in vivo with sono-switchable nanodroplets—0
Fast Image Deconvolution using Hyper-Laplacian Priors—0
Fast Image Super-Resolution Based on In-Place Example Regression—0
Fast Neural Architecture Search for Lightweight Dense Prediction Networks—0
Fast Online Video Super-Resolution with Deformable Attention Pyramid—0
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars—0
Fast Single Image Super-Resolution—0
Fast single image super-resolution based on sigmoid transformation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified